{"schema_version":1,"research_id":"eoa_inverse_innovation_exp05_external_evaluation_20260803","source_assessment_id":"invariant_mode_decomposition_design__literature_literary_theory:P3:v0","cell_id":"invariant_mode_decomposition_design__literature_literary_theory","search_queries":["site:pmc.ncbi.nlm.nih.gov classroom discussion participation instructor uptake consensus literary seminar transcript analysis","epistemic network analysis classroom discourse discussion turns claim evidence study","university teaching center seminar discussion dominant voices premature consensus textual evidence","classroom discussion analytics product participation dashboard speaking time","site:ctl.columbia.edu discussion seminar dominant students multiple perspectives teaching literature","site:teaching.uic.edu discussion dominant voices classroom multiple perspectives evidence","site:bokcenter.harvard.edu classroom discussion multiple perspectives dominant voices","site:teaching.cornell.edu classroom discussion equitable participation silence dominant voices","dynamic mode decomposition noisy short time series sample size stability paper cross validation","autoregressive transition matrix classroom discourse sequential turns study discussion transcript","learning analytics ethics student consent classroom audio recording official guidance FERPA","45 CFR 46 classroom research student consent recording transcript IRB official","\"CADA: a teacher-facing learning analytics dashboard\" publication date DOI","\"On Dynamic Mode Decomposition: Theory and Applications\" journal publication 2014 DOI"],"sources":[{"source_id":"S1","title":"Civil Discourse","publisher":"Derek Bok Center for Teaching and Learning, Harvard University","url":"https://bokcenter.harvard.edu/civil-discourse-teaching","source_class":"OFFICIAL_GUIDANCE","publication_date":"n.d.","accessed_at":"2026-08-03","claims_supported":["Harvard reports that 45% of surveyed students were reluctant to share views about charged topics in class.","The guidance expressly identifies rapid classroom convergence on consensus as a barrier to engaging a wide range of perspectives.","Harvard FAS and the Bok Center identify constructive dialogue as an institutional priority and offer faculty workshops and consultations."]},{"source_id":"S2","title":"Encouraging Student Participation in Discussions","publisher":"Center for Teaching Innovation, Cornell University","url":"https://teaching.cornell.edu/teaching-resources/engaging-students/engaging-students-discussions/encouraging-student","source_class":"OFFICIAL_GUIDANCE","publication_date":"n.d.","accessed_at":"2026-08-03","claims_supported":["Instructors are advised to monitor minority opinions, dominant participants, and speaking balance.","Established responses include silent writing, small-group work, rotating roles, step-up/step-back practices, and prompts that ask students to respond to one another.","These practices form a low-cost baseline against which a modal trigger must add value."]},{"source_id":"S3","title":"Engaging a Wide Range of Viewpoints","publisher":"Derek Bok Center for Teaching and Learning, Harvard University","url":"https://bokcenter.harvard.edu/engaging-wide-range-viewpoints","source_class":"OFFICIAL_GUIDANCE","publication_date":"n.d.","accessed_at":"2026-08-03","claims_supported":["Existing guidance explicitly recommends pushing back against premature consensus by inviting additional viewpoints.","Existing guidance recommends requesting connections to course material and examining evidence.","The guidance cautions that viewpoint plurality must remain subject to disciplinary methods because not all ideas are equally valid."]},{"source_id":"S4","title":"CADA: a teacher-facing learning analytics dashboard to foster teachers’ awareness of students’ participation and discourse patterns in online discussions","publisher":"Springer Nature, Technology, Knowledge and Learning","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC8982662/","source_class":"PRIMARY_RESEARCH","publication_date":"2022-04-05","accessed_at":"2026-08-03","claims_supported":["CADA already combines participation, social-network, concept, sentiment, and post-level information in a teacher-facing discussion dashboard.","The dashboard was designed, tested, and evaluated with teachers in authentic educational settings.","Teacher-facing multi-feature discourse analytics are therefore established adjacent prior art, although CADA addresses asynchronous Canvas discussions rather than live literary seminars or temporal eigenmodes."]},{"source_id":"S5","title":"Investigating shared agency in student Knowledge Building discourse using epistemic network analysis","publisher":"Research and Practice in Technology Enhanced Learning / Asia-Pacific Society for Computers in Education","url":"https://rptel.apsce.net/index.php/RPTEL/article/view/2026-21006","source_class":"PRIMARY_RESEARCH","publication_date":"2026-01-01","accessed_at":"2026-08-03","claims_supported":["Coded transcripts from synchronous face-to-face and online discussions have been analyzed as weighted networks of semantic connections.","The study found distinct engagement and idea-development patterns in discourse networks.","Quantitative modeling of coupled discourse features is technically plausible but described by the authors as still early-stage research."]},{"source_id":"S6","title":"On Dynamic Mode Decomposition: Theory and Applications","publisher":"Journal of Computational Dynamics; author manuscript hosted by arXiv","url":"https://arxiv.org/abs/1312.0041","source_class":"PRIMARY_RESEARCH","publication_date":"2014-12","accessed_at":"2026-08-03","claims_supported":["Dynamic mode decomposition estimates the eigendecomposition of a best-fit linear operator from paired state observations.","Modes and eigenvalues can represent growth, decay, and oscillation in measured dynamics.","The method supports multiple nonsequential trajectories but can be misleading on rank-deficient data and requires linear-consistency and noise checks."]},{"source_id":"S7","title":"Code of practice for learning analytics","publisher":"Jisc","url":"https://www.jisc.ac.uk/guides/code-of-practice-for-learning-analytics","source_class":"STANDARD","publication_date":"2015","accessed_at":"2026-08-03","claims_supported":["Institutions should assign responsibility for data collection, anonymization, analytics, interventions, retention, and stewardship.","New analytics projects may require additional consent and data-protection assessment, and re-identification from metadata must be considered.","Predictive analytics and interventions should be validated, reviewed, auditable, transparent, and governed by qualified staff.","Analytics should not label students in ways that reinforce bias or social power differentials."]},{"source_id":"S8","title":"45 CFR 46","publisher":"U.S. Department of Health and Human Services, Office for Human Research Protections","url":"https://www.hhs.gov/ohrp/regulations-and-policy/regulations/45-cfr-46/index.html?locale=us","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2025-02-11","accessed_at":"2026-08-03","claims_supported":["The Common Rule supplies protections for human research subjects and provides exemption provisions and institutional-review requirements.","An institution, rather than the seminar instructor alone, must determine the applicable human-subjects review pathway.","Additional protections apply where relevant populations or circumstances trigger them."]}],"problem_evidence":{"support":"MODERATE","rationale":"Official university guidance directly recognizes rapid classroom consensus, reluctance to voice dissent, dominant participation, and the need to test viewpoints against disciplinary evidence. These sources establish the broader problem and its pedagogical importance. They do not establish prevalence in literature seminars, show that passage coverage or supported counter-readings are lost, or verify that a stable coupled dynamical mode rather than ordinary social influence causes the convergence.","source_ids":["S1","S2","S3"]},"stakeholder_evidence":{"support":"STRONG","rationale":"University teaching centers identify instructors as authorized facilitators, publish interventions for premature consensus and participation imbalance, and offer consultations and workshops. Harvard describes constructive dialogue as an institutional priority. This establishes credible instructor and teaching-center pull for the outcome, though not expressed demand for eigendecomposition or live modal monitoring specifically.","source_ids":["S1","S2","S3"]},"prior_art":{"proximity":"ADJACENT_PRIOR_ART","closest_analogues":[{"name":"Generic premature-consensus and evidence prompts","similarity":"Harvard already recommends inviting alternative viewpoints, returning claims to course evidence, depersonalizing positions, and challenging premature consensus—the substantive reset behavior proposed here.","remaining_difference":"The existing practice is scheduled or instructor-judged, not triggered by a resampling-stable temporal mode with held-out predictive validation.","source_ids":["S1","S3"]},{"name":"CADA teacher-facing discourse dashboard","similarity":"CADA combines participation, network structure, concepts, sentiment, and detailed discussion data to inform instructor action.","remaining_difference":"It analyzes asynchronous online discussion and does not estimate block-to-block transition eigenmodes, spectral stability, passage coverage, or mode-conditioned resets.","source_ids":["S4"]},{"name":"Epistemic Network Analysis of synchronous classroom discourse","similarity":"ENA models connections among coded discourse features and distinguishes group-level patterns in face-to-face discussion.","remaining_difference":"ENA represents weighted co-occurrence structures rather than growth or decay under a fitted temporal operator and does not test a literary-seminar reset.","source_ids":["S5"]},{"name":"Dynamic Mode Decomposition","similarity":"DMD supplies the proposed best-fit transition operator, eigenmodes, and growth or decay interpretation from paired observations.","remaining_difference":"The cited method is domain-general; no relied-upon source applies it to literary seminar discourse or validates an instructional intervention from its modes.","source_ids":["S6"]},{"name":"Established inclusive-discussion facilitation","similarity":"Silent writing, small groups, participation balancing, and prompts for peer response already address suppressed viewpoints and dominant conversational patterns.","remaining_difference":"These practices do not require or test incremental prediction from a coupled modal state.","source_ids":["S2"]}],"distinctive_claim_remaining":"Within one fixed work–instructor–format regime, a resampling-stable mode of jointly coded claim activation, passage coverage, unresolved counterevidence, unsupported repetition, instructor-linked uptake, and participation concentration will predict held-out loss of supported counter-readings better than regularized coordinate-wise and simpler sequence/network models; conditional on that retrospective result, a threshold-triggered reset will outperform both a scheduled close-reading pause and a generic counterevidence prompt on subsequent passage coverage and preservation of evidence-backed alternatives without reducing participation or accessibility.","confidence":"MODERATE"},"implementation_evidence":{"support":"MODERATE","rationale":"Primary research establishes that classroom transcripts can be coded into connected discourse features and presented in teacher-facing analytics, while DMD provides a mathematically appropriate best-fit linear-operator framework. However, four seminars are unlikely to support stable estimation, selection, and held-out validation of a multi-coordinate transition model without severe rank, dependence, and overfitting risks. Manual claim-family and textual-evidence coding is interpretation-sensitive; real-time coding and trigger latency are unproven. Institutional review, meaningful consent, small-seminar re-identification controls, accessibility review, and a prohibition on individual profiling are mandatory workflow constraints. The retrospective analysis is technically buildable, but neither predictive advantage nor safe live intervention is presently demonstrated.","source_ids":["S4","S5","S6","S7","S8"]},"scores":{"meaningful_impact":{"score":3,"rationale":"Premature consensus and silenced perspectives matter to evidence-bound seminar learning, but literature-specific prevalence and outcome magnitude remain unmeasured.","source_ids":["S1","S2","S3"]},"stakeholder_pull":{"score":4,"rationale":"Harvard and Cornell teaching centers express a clear need for productive disagreement, viewpoint diversity, and facilitation responses; demand for modal analytics itself is not shown.","source_ids":["S1","S2","S3"]},"incremental_advantage":{"score":2,"rationale":"The proposed trigger could improve timing and diagnosis, but no evidence shows improvement over established silent-writing, evidence, participation, or counterview prompts.","source_ids":["S2","S3","S4"]},"distinctiveness_plausibility":{"score":3,"rationale":"No exact literary-seminar temporal-mode reset appeared in the bounded search, but most ingredients exist separately in discourse analytics, ENA, DMD, and established facilitation.","source_ids":["S3","S4","S5","S6"]},"technical_implementability":{"score":2,"rationale":"Offline coding and decomposition are feasible, but the proposed four-seminar dataset is vulnerable to rank deficiency, coder noise, within-session dependence, and unstable eigenmodes; real-time implementation is not established.","source_ids":["S4","S5","S6"]},"adoption_authority_feasibility":{"score":3,"rationale":"Instructors control facilitation, but research use of recordings and analytics needs institutional review, consent, data governance, and accessibility safeguards beyond instructor authority.","source_ids":["S1","S7","S8"]},"evidence_readiness":{"score":2,"rationale":"The candidate has explicit comparators and falsifiers, yet lacks a validated codebook, existing suitable dataset, power or identifiability analysis, retrospective results, and intervention evidence.","source_ids":["S5","S6"]},"safety_net_benefit":{"score":3,"rationale":"A reversible pause, human instructor control, aggregate reporting, and disablement criteria provide useful safeguards, but monitoring itself may chill speech or permit re-identification and profiling.","source_ids":["S7","S8"]},"scalability":{"score":2,"rationale":"The software and analysis could be replicated, but mandatory re-estimation for each work, instructor, objective, and course unit plus labor-intensive coding sharply limits scale.","source_ids":["S4","S5","S7"]}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Preregistered retrospective feasibility study: institutional review and consent work, secure transcript preparation, codebook development, two independent coders, adjudication, statistical simulation, regularized transition and comparator models, held-out evaluation, and aggregate reporting.","confidence":"MODERATE","assumptions":["Suitable recordings and pre/post writings already exist and can lawfully be reused.","Approximately 12–20 comparable seminar sessions are available; the proposed four sessions alone may be inadequate.","Includes roughly 0.4–0.8 FTE research lead, 0.3–0.6 FTE quantitative analyst, two part-time coders, and institutional privacy/IRB support for 6–9 months.","The band is a resource-equivalent estimate, not a vendor quotation."],"source_ids":["S5","S6","S7","S8"]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Secure institutional prototype for consent tracking, audio/transcript ingestion, coder workflow, aggregate state calculation, validation and drift controls, instructor interface, audit logs, accessibility testing, training, and governance documentation.","confidence":"LOW","assumptions":["Human-verified rather than fully automated literary interpretation coding is retained.","Deployment is limited to one institution and no grading or individual profiling is supported.","Includes engineering, learning-science, privacy/security, accessibility, and faculty-design labor over 9–15 months.","No procurement, wage, or product-price source was located in the bounded search."],"source_ids":["S4","S7","S8"]},"operational_launch":{"band_2026_usd":"50K_TO_250K","scope":"One-institution prospective pilot across several consented seminar sections, including instructor training, randomization or stepped allocation among triggered, scheduled, and generic-prompt conditions, independent coding, monitoring, and evaluation.","confidence":"LOW","assumptions":["The retrospective gate has passed before any live reset.","Existing secure transcription and analytics infrastructure is reused.","The pilot excludes high-stakes grading and automated interruption.","Costs cover one academic term and independent outcome assessment."],"source_ids":["S2","S3","S7","S8"]},"annual_recurring":{"band_2026_usd":"50K_TO_250K","scope":"Secure storage and deletion, consent administration, transcription and coding quality assurance, model re-estimation, instructor support, drift and adverse-impact review, accessibility maintenance, and annual governance audit for a small institutional program.","confidence":"LOW","assumptions":["Five to fifteen seminar sections are supported annually.","Models are re-estimated rather than transferred across works or instructors.","At least one methods/support role and part-time coding, privacy, and accessibility effort remain necessary.","The band excludes major new software development."],"source_ids":["S4","S7"]}},"verified_pipeline_gates":{"externally_supported_problem":{"status":"YES","reason":"Official university guidance directly documents rapid consensus, suppressed viewpoints, dominance concerns, and the pedagogical need for evidence-tested disagreement, although the literary-seminar modal mechanism remains unverified.","source_ids":["S1","S2","S3"]},"externally_credible_adopter_or_authorizer":{"status":"YES","reason":"Seminar instructors have facilitation authority, and university teaching centers are identifiable institutional partners already offering consultation and programming on the stated need.","source_ids":["S1","S2","S3"]},"distinct_testable_incremental_claim":{"status":"YES","reason":"The candidate specifies a falsifiable predictive comparison against coordinate-wise models and an intervention comparison against scheduled and generic prompts, with adverse participation and accessibility outcomes included.","source_ids":["S2","S3","S4","S5","S6"]},"bounded_next_evidence_step":{"status":"YES","reason":"A preregistered, retrospective, consented, single-regime study can test coder reliability, rank and stability, held-out predictive lift, and residual structure before any live intervention.","source_ids":["S5","S6","S7","S8"]},"no_unresolved_safety_or_authority_stop":{"status":"UNCERTAIN","reason":"Instructor authority is insufficient by itself. Institutional human-subjects review, lawful reuse and meaningful consent, withdrawal handling, small-seminar re-identification risk, accessibility, and data retention must be resolved for the actual site and dataset.","source_ids":["S7","S8"]},"credible_cost_scope_and_range":{"status":"YES","reason":"All four phases have bounded resource-equivalent bands tied to explicit staffing and deployment assumptions. Confidence is limited because no direct wage, procurement, or vendor-pricing evidence was included.","source_ids":["S4","S7","S8"]}},"next_evidence_step":"Before a live reset, secure an institutional human-subjects determination and verify meaningful consent for retrospective reuse. Preregister a simulation-based minimum sample requirement, state coordinates, literary-evidence rubric, coder-agreement threshold, block sensitivity analyses, regularization, mode-matching and bootstrap-stability rules, residual tolerance, and held-out outcomes. Analyze at least 12–20 comparable archived sessions on the same work with the same instructor and format if available; leave whole sessions out rather than random blocks. Compare (1) the modal transition model, (2) regularized coordinate-wise lag models, (3) participation/instructor-uptake/repetition-only models, and (4) a simpler sequence or epistemic-network model. Falsify the retrospective claim if coder reliability misses its threshold, the paired-state matrix is rank-deficient after the preregistered reduction, modes fail bootstrap direction/gain stability, adverse outcomes are explained by independently stronger textual evidence, or the modal model fails to deliver preregistered held-out predictive improvement. Only a separately approved prospective study should then compare triggered reset, scheduled close-reading pause, and generic counterevidence prompt.","blocking_evidence":["No direct evidence establishes the prevalence or magnitude of premature interpretive closure specifically in literature seminars.","No suitable consented proprietary dataset, institutional review determination, or evidence of sufficient comparable sessions has been produced.","The proposed four-seminar design lacks a demonstrated identifiability or power basis for a multi-coordinate transition matrix and mode stability.","No validated, viewpoint-neutral codebook or reliability evidence exists for claim families, textual support, counterevidence, and instructor uptake.","No held-out evidence shows that a coupled mode predicts outcomes beyond regularized coordinate-wise or simpler discourse-network models.","No prospective evidence shows that a mode-triggered reset outperforms scheduled or generic prompts without chilling speech, reducing accessibility, or preserving weak readings mechanically.","Real-time coding accuracy, latency, spectral stability, instructor workload, and interface usability are unmeasured.","Small-seminar de-identification and withdrawal procedures have not been shown to prevent practical re-identification."],"research_disposition":"PARTNERED_RESEARCH_PROGRAM","world_novelty_boundary":"The bounded search found adjacent classroom-discussion analytics, epistemic-network analysis, teacher dashboards, dynamic-mode methodology, and established premature-consensus prompts, but no exact relied-upon source combining locally fitted temporal eigenmodes of literary-seminar discourse with a threshold-triggered textual-evidence reset. This is only a search contrast, not a world-novelty determination. World novelty, patentability, freedom to operate, market size, and realized impact remain unmeasured.","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_version":0,"controller_recommendation":{"action":"STOP_EMPIRICAL_RESEARCH_NEEDED","repairable":false,"material_progress_observed":false,"progress_targets":["Obtain institutional human-subjects and privacy determinations plus demonstrably voluntary consent and withdrawal procedures for the specific archival dataset.","Replace the four-session assumption with a simulation-justified sample and state dimension, or demonstrate that sufficient paired blocks and independent sessions exist.","Validate a preregistered literary-evidence codebook using independent coders blinded to intervention hypotheses and instructor preferences.","Demonstrate whole-session held-out predictive lift and bootstrap-stable modes over coordinate-wise, participation-only, and simpler discourse-network comparators.","After the retrospective gate passes, run a separately approved prospective comparison of triggered reset, scheduled pause, and generic counterevidence prompt with participation, accessibility, chilling-effect, and textual-quality outcomes.","Produce auditable governance, re-identification testing, retention/deletion rules, workload estimates, and a prohibition on grading or individual profiling."],"reason":"The problem and adopter are externally credible, and the remaining claim is distinct and testable, but its decisive evidence requires access to consented seminar recordings and writings, independent coding, proprietary session-level data, and eventually a live comparative intervention. Those questions cannot be resolved by further bounded web search. The current four-seminar design also lacks demonstrated identifiability, predictive advantage, and safety authorization, so advancement must stop pending partnered empirical research."},"proposal_index":3}