{"schema_version":1,"research_id":"eoa_inverse_innovation_exp03_external48_20260801","source_assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","cell_id":"invariant_mode_decomposition_design__philosophy","selection_stratum":"REJECTION_LOW_BAND_AUDIT","search_queries":["dynamic argumentation belief revision argument graph revision operators paper philosophical argumentation","computational argumentation argument revision dialogue evolution argument graphs paper","argument mapping peer review philosophy empirical study reviewers","argument revision drafts argument mining changes paper","Dynamic Mode Decomposition snapshot pairs rank sample complexity original paper Tu Rowley Kutz 2014","philosophy journal reviewer guidelines arguments objections revisions official","bipolar argumentation framework revision support attack dynamics belief change paper","BLS occupational employment wage data social scientists software developers 2025"],"sources":[{"source_id":"S1","title":"Argument Revision","publisher":"Oxford University Press, Journal of Logic and Computation","url":"https://academic.oup.com/logcom/article/27/7/2089/2917886","source_class":"PRIMARY_RESEARCH","publication_date":"2016-09-13","accessed_at":"2026-08-02","claims_supported":["Structured argumentation systems can be revised by changing premises, rules, preferences, contraries, or argument acceptability.","The paper uses quantitative effects and minimal change to assess propagation through an argumentation system.","The authors explicitly identify difficulty assessing the impact of seemingly trivial changes, even in small knowledge bases.","The model addresses commitment retraction in multi-agent dialogue."]},{"source_id":"S2","title":"A meta-argumentation approach for the efficient computation of stable and preferred extensions in dynamic bipolar argumentation frameworks","publisher":"IOS Press, Intelligenza Artificiale","url":"https://doi.org/10.3233/IA-180002","source_class":"PRIMARY_RESEARCH","publication_date":"2019-01-28","accessed_at":"2026-08-02","claims_supported":["Dynamic bipolar argumentation frameworks already represent changing attacks and supports between arguments.","Incremental methods recompute accepted argument sets following framework updates.","The reported implementation was experimentally evaluated computationally."]},{"source_id":"S3","title":"A Corpus of Annotated Revisions for Studying Argumentative Writing","publisher":"Association for Computational Linguistics","url":"https://aclanthology.org/P17-1144/","source_class":"PRIMARY_RESEARCH","publication_date":"2017-07","accessed_at":"2026-08-02","claims_supported":["ArgRewrite contains three drafts from 60 argumentative-essay writers with manually aligned and purpose-coded revisions.","Duplicate annotation achieved reported kappa values of 0.84 for coarse categories and 0.71 for eight fine-grained categories.","The study trained a revision-purpose classifier and compared a purpose-aware revision interface with a character-difference interface.","The authors lacked direct evaluative data on whether revisions improved essay quality."]},{"source_id":"S4","title":"On dynamic mode decomposition: Theory and applications","publisher":"American Institute of Mathematical Sciences, Journal of Computational Dynamics","url":"https://doi.org/10.3934/jcd.2014.1.391","source_class":"PRIMARY_RESEARCH","publication_date":"2014-12","accessed_at":"2026-08-02","claims_supported":["Dynamic mode decomposition is an eigendecomposition of an approximating linear operator fitted from paired observations.","The framework applies to nonsequential datasets under stated conditions.","Rank-deficient data and failure of linear consistency create identified pitfalls for DMD inference."]},{"source_id":"S5","title":"Empirical evaluation of abstract argumentation: supporting the need for bipolar and probabilistic approaches","publisher":"International Journal of Approximate Reasoning; open manuscript hosted by Cardiff University","url":"https://orca.cardiff.ac.uk/id/eprint/120622/","source_class":"PRIMARY_RESEARCH","publication_date":"2018-02","accessed_at":"2026-08-02","claims_supported":["A participant study found that people do not uniformly identify intended statements and argumentative relations as formal models assume.","The findings supported representing uncertainty and both positive and negative argument relations.","Human interpretation of argument structure and belief states is an empirical source of model uncertainty."]},{"source_id":"S6","title":"Information for Referees","publisher":"British Society for the Philosophy of Science","url":"https://www.thebsps.org/faq/faq-referees/","source_class":"OFFICIAL_GUIDANCE","publication_date":"","accessed_at":"2026-08-02","claims_supported":["A philosophy journal assigns editors final authority while using several referee reports.","Reviewers may assess only portions of an argument, and major or minor revision recommendations should specify requested improvements.","Confidential manuscripts may not be shared with AI systems under this journal's policy.","The journal may return revisions to the original referees."]},{"source_id":"S7","title":"National employment and wage data from the Occupational Employment and Wage Statistics survey, May 2025","publisher":"U.S. Bureau of Labor Statistics","url":"https://www.bls.gov/news.release/ocwage.t01.htm","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2026-05-15","accessed_at":"2026-08-02","claims_supported":["May 2025 mean annual wages were $92,040 for postsecondary philosophy and religion teachers, $126,800 for data scientists, $148,100 for software developers, and $153,930 for computer and information research scientists.","These wage data provide an official labor-cost anchor but exclude the full burden of benefits, administration, facilities, and institutional overhead."]}],"problem_evidence":{"support":"MODERATE","rationale":"S1 directly recognizes that apparently trivial changes in a structured argumentation system can have impacts that are difficult to assess, closely matching the proposed coupled-change problem. S3 shows that between-draft argumentative revision is sufficiently structured to annotate, while S5 shows that people can disagree about statements and relations. However, none measures how often philosophy reviewers use thesis-by-thesis review, miss coupled revisions, or suffer consequential downstream errors; prevalence and magnitude remain unverified.","source_ids":["S1","S3","S5"]},"stakeholder_evidence":{"support":"WEAK","rationale":"S6 verifies a real philosophy-review workflow involving authors, multiple referees, editors, and resubmitted revisions, so the proposed users and authorizers are credible. It also establishes that editors retain decision authority. No source reports reviewer or editor demand for modal cues, willingness to supply revision records, budget, adoption intent, or acceptance of commitment-vector encoding.","source_ids":["S6"]},"prior_art":{"proximity":"SUBSTANTIAL_COLLISION","closest_analogues":[{"name":"Snaith and Reed's Argument Revision","similarity":"It models structured argument systems dynamically, quantifies the effects of changes, seeks minimal-change revisions, and explicitly addresses difficulty tracing the impact of seemingly trivial changes and dialogue-commitment retraction.","remaining_difference":"It is a formal and normative revision mechanism, not an empirically fitted transition model learned from observed philosophical objection-reply episodes; it does not extract stable spectral modes or test nonbinding reviewer cues against claim-level and static-network comparators.","source_ids":["S1"]},{"name":"Dynamic bipolar argumentation frameworks","similarity":"They model jointly changing support and attack relations and incrementally calculate how an update changes accepted sets of arguments.","remaining_difference":"They compute consequences under stipulated argumentation semantics rather than estimate recurring human revision directions, uncertainty-conditioned modes, or effects of reviewer attention cues.","source_ids":["S2"]},{"name":"ArgRewrite revision corpus and interface","similarity":"It aligns multiple argumentative drafts, manually codes purposes such as claims, reasons, rebuttals, and evidence, predicts revisions, and compares two revision-support interfaces.","remaining_difference":"It concerns short student essays at sentence level, not coupled philosophical commitment networks; it lacks transition-mode decomposition, static-network and claim-level comparators, and direct measurement of consequential revision quality or earlier reviewer detection.","source_ids":["S3"]},{"name":"Dynamic mode decomposition","similarity":"It supplies the proposed operator-fitting and modal-decomposition machinery for paired observations, including diagnostics for rank deficiency and linear inconsistency.","remaining_difference":"The method was developed for dynamical-system data, not reflexive philosophical revision, and S4 supplies no evidence that its invariance assumptions hold for semantic, strategic, or coder-mediated argument changes.","source_ids":["S4"]}],"distinctive_claim_remaining":"The bounded search did not find a study that learns a low-rank local transition operator from consented philosophical objection-reply records, retains only coder-robust and well-conditioned spectral modes, and then tests whether nonbinding mode-targeted cues improve held-out prediction and earlier human detection relative to both claim-level and static-network review. This is a testable synthesis remaining after substantial overlap with dynamic argument revision, not an established advantage or world-novelty claim.","confidence":"HIGH"},"implementation_evidence":{"support":"WEAK","rationale":"S3 demonstrates that longitudinal argumentative drafts can be collected, manually aligned, coded with moderate-to-strong agreement, and used for classification and an interface comparison. S4 establishes the mathematical machinery while warning that rank-deficient data can invalidate inference. S5 shows that human disagreement over statements and relations must be modeled. With only eight training cases, the paired snapshot matrix has rank at most eight—and potentially much less—so the proposed operator requires a very low locked dimension or strong regularization; four held-out cases cannot by themselves support a reliable reviewer-effect estimate. No source validates comparable philosophical revision records, consequential-outcome coding, or stable local modes.","source_ids":["S3","S4","S5"]},"scores":{"meaningful_impact":{"score":3,"rationale":"S1 supports the structural importance of tracing nonlocal effects of argument changes, and S6 confirms that revisions affect real editorial workflows. The frequency and consequence of missed coupled revisions in philosophy have not been measured.","source_ids":["S1","S6"]},"stakeholder_pull":{"score":2,"rationale":"Credible actors and authority exist in S6, but no adopter request, workflow commitment, data-sharing offer, or willingness-to-pay evidence was found.","source_ids":["S6"]},"incremental_advantage":{"score":2,"rationale":"No comparative result supports improvement over ordinary review, Argument Revision, dynamic bipolar frameworks, or static networks. S1-S3 cover much of the problem and workflow without the proposed spectral layer.","source_ids":["S1","S2","S3"]},"distinctiveness_plausibility":{"score":2,"rationale":"The learned-mode plus reviewer-cue experiment was not found, but it combines established structured argument revision with established DMD rather than opening an unoccupied method space.","source_ids":["S1","S2","S4"]},"technical_implementability":{"score":2,"rationale":"Annotation and interface components are feasible in adjacent data, but S4's rank-deficiency warning is acute for eight training transitions and S5 indicates representation disagreement. Candidate-specific identifiability is unshown.","source_ids":["S3","S4","S5"]},"adoption_authority_feasibility":{"score":3,"rationale":"S6 clearly places assessment authority with referees and final authority with editors. A research-only cue could preserve that allocation, but manuscript confidentiality requires explicit journal permission and rules out unapproved AI or third-party processing.","source_ids":["S6"]},"evidence_readiness":{"score":2,"rationale":"S3 provides a useful annotation precedent and comparator-interface design, but its 60-writer corpus still lacked direct quality outcomes. The proposed 12-case design has weaker information and no validated outcome measure.","source_ids":["S3","S4"]},"safety_net_benefit":{"score":3,"rationale":"A nonbinding, residual-preserving cue could supplement rather than replace human review, consistent with S6's human editorial authority. Benefit remains hypothetical, and mischaracterized encodings could instead distort attention.","source_ids":["S5","S6"]},"scalability":{"score":1,"rationale":"S3 required trained manual alignment and coding in a tightly controlled single-prompt corpus, while S5 documents disagreement about argument structure. Philosophy-specific vocabulary, confidentiality, local refitting, and expert residual review make cross-topic scaling unsupported.","source_ids":["S3","S5","S6"]}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"One preregistered offline feasibility study covering simulation-based identifiability, 12 consented or commissioned-synthetic case packets, low-dimensional state design, duplicate philosophical coding, author or generator validation, three locked predictive comparators, secure data handling, participant compensation, ordinary computing/software, independent analysis, residual audit, and reporting; no live editorial use.","confidence":"LOW","assumptions":["The work uses part-time philosophical, quantitative, coordination, and research-assistant labor anchored to S7 wage categories, with benefits and institutional overhead added.","No proprietary corpus purchase, specialized equipment, production integration, or consequential decision is included.","Open-source numerical and annotation software is adequate, although configuration and validation labor are included.","If simulations show that four held-out cases cannot provide decision-relevant discrimination, the study stops before full coding."],"source_ids":["S3","S4","S7"]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Prepare a research-validated prototype for one consenting seminar or editorial research partner, including software hardening, secure storage, permissions and ethics review, coding manuals, accessibility and privacy review, staff training, equipment and software, author dispute and withdrawal procedures, monitoring, independent evaluation, and rollback testing.","confidence":"LOW","assumptions":["Startup occurs only after a larger confirmatory study establishes predictive and cue-level advantage.","Confidential manuscripts are processed only with explicit journal and author authorization consistent with S6.","Human expert coding and residual adjudication remain necessary.","The system remains research support and does not produce truth, validity, competence, or publication scores."],"source_ids":["S6","S7"]},"operational_launch":{"band_2026_usd":"250K_TO_1M","scope":"Launch a nonbinding research program across several consenting cohorts in one narrow philosophical genre, including onboarding, secure data acquisition, local calibration, duplicate-coding quality assurance, participant support, compliance and coordination, software operations, independent outcome evaluation, drift checks, incident response, and rollback capability.","confidence":"LOW","assumptions":["The scope is several cohorts, not field-wide deployment.","Each cohort shares a sufficiently comparable genre and coding vocabulary.","No public ranking, automated editorial recommendation, or reuse of confidential records is allowed.","Existing general-purpose computing infrastructure is sufficient; expert labor is the dominant resource."],"source_ids":["S3","S6","S7"]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Annual operation of the limited multi-cohort research program, including philosophical coding, quantitative refitting, secure data governance, consent administration, software and equipment maintenance, participant and partner coordination, residual and fairness audits, model-drift tests, independent evaluation, training, and publication of failures and boundaries.","confidence":"LOW","assumptions":["Local refitting is required when topics, traditions, genres, or vocabularies change.","Loaded interdisciplinary labor exceeds the direct wages reported in S7 because benefits, administration, facilities, and evaluation are included.","The program remains small and research-only; broader editorial integration would move above this band.","No validated automation saving is credited because S3 still depended on trained manual annotation."],"source_ids":["S3","S6","S7"]}},"verified_pipeline_gates":{"externally_supported_problem":{"status":"YES","reason":"S1 independently identifies the closely matching difficulty of tracing effects from seemingly trivial changes in structured argument systems. This verifies recognizability, not prevalence among philosophy reviewers.","source_ids":["S1"]},"externally_credible_adopter_or_authorizer":{"status":"YES","reason":"S6 verifies practicing philosophy referees and editors, repeated revision review, multiple reports, and final editorial authority. It does not verify adoption interest.","source_ids":["S6"]},"distinct_testable_incremental_claim":{"status":"YES","reason":"The remaining claim can compare a locked learned-mode model and cue against claim-level prediction, static-network propagation, and existing formal revision approaches; S1-S4 make those comparators concrete.","source_ids":["S1","S2","S3","S4"]},"bounded_next_evidence_step":{"status":"YES","reason":"A simulation-gated, offline 12-case feasibility study can test coding reliability, rank adequacy, held-out prediction, and comparator parity without live deployment.","source_ids":["S3","S4"]},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The next step can use only explicitly consented or commissioned-synthetic cases, nonbinding outputs, de-identification, withdrawal, and ordinary human review. Any confidential journal material requires prior permission under S6; absent permission, it is excluded.","source_ids":["S6"]},"credible_cost_scope_and_range":{"status":"YES","reason":"All four bands explicitly include labor, data handling, compliance, coordination, equipment/software, and evaluation. S7 supplies current official labor anchors, while low confidence reflects absent direct project-cost observations.","source_ids":["S7"]}},"next_evidence_step":"Before any reviewer-cue or editorial study, preregister a simulation-gated offline feasibility test using 12 consented or commissioned-synthetic cases in one topic and genre. Lock a maximum four-dimensional commitment representation, duplicate-code every case, and require author or case-generator review for material mischaracterization. Fit on eight cases and test unchanged on four, comparing mode-based prediction with persistence/independent-claim prediction and static-network propagation. Stop before cue testing if simulations show inadequate discrimination, fine-grained coder reliability misses the preregistered threshold, mode conditioning or bootstrap stability fails, consequential changes concentrate in residuals, or either comparator matches or beats held-out mode performance.","blocking_evidence":["No study found measures the prevalence or consequence of coupled-commitment blindness in actual philosophy review (S1,S6).","No source establishes access to sufficiently comparable, consented philosophical objection-reply sequences; the closest longitudinal corpus is short student argumentative writing (S3).","The proposed eight training transitions cannot identify an unconstrained higher-dimensional operator, and rank-deficient data are an established DMD failure mode (S4).","Human disagreement about intended statements and argumentative relations threatens state-vector validity (S5).","No evidence shows advantage over the substantially overlapping Argument Revision or dynamic bipolar-framework literature (S1,S2).","No reviewer-cue experiment demonstrates earlier or more accurate detection of consequential philosophical revisions; ArgRewrite lacked direct revision-quality outcomes (S3).","No editor, referee, author, seminar leader, or professional association has expressed demand or offered a governed data partnership (S6).","Confidential manuscript use is unavailable without explicit authorization and may be barred from AI-system sharing by journal policy (S6)."],"research_disposition":"PRIOR_ART_DIFFERENTIATION_STUDY","world_novelty_boundary":"This was a bounded English-language web search across structured and dynamic computational argumentation, belief and argument revision, bipolar argument frameworks, argumentative-writing revision corpora, DMD, philosophy-review guidance, and official labor data. It found substantial collision with formal structured Argument Revision and adjacent dynamic bipolar frameworks, plus an established argumentative-revision corpus and the established DMD method (S1-S4). It did not include an exhaustive database, citation-network, patent, dissertation, non-English, or unpublished-system search. The unfound empirical mode-guided reviewer-cue combination is therefore only a remaining testable difference within this search, never a claim of world novelty or freedom to operate."}