{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"invariant_mode_decomposition_design__communication_media_studies","trajectory_id":"R","attempt_index":0,"archetype_slug":"invariant_mode_decomposition_design","domain_slug":"communication_media_studies","decision":"CANDIDATE","problem_id":"coupled_narrative_amplification_blind_spot","causal_lever_id":"cross_channel_narrative_transition_modes","proposal":{"problem":"Media monitoring based on individual posts, accounts, keywords, or aggregate engagement can miss a growing combination of frames, sources, channels, and audience communities. The coupled narrative pattern may accumulate reach before any single coordinate crosses an alert threshold, delaying proportionate editorial or platform response.","actors_substrate":["audiences exposed across channels","publishers and creators","journalists and fact-checkers","platform integrity analysts","recommendation and sharing systems","message-level and exposure-transition records"],"observable_state":"A time-binned state vector records exposure shares for prespecified frame-source-channel-community cells. An estimated lagged transition operator describes how changes in one bin predict the next; its modes, gains, reconstruction residuals, and temporal drift are observable analysis outputs.","consequence":"HYPOTHESIS: A weakly damped or growing coupled mode can spread a demonstrably harmful or externally adjudicated false narrative while ordinary coordinate-level monitors remain below threshold, increasing detection delay and avoidable exposure.","affected_objective":"Detect emerging harmful narrative amplification early enough for evidence review and proportionate response while limiting false alarms, viewpoint discrimination, and unnecessary intervention.","structural_mapping":[{"archetype_element":"many-variable transformation","domain_realization":"An estimated lagged map from one time-binned distribution of frame-source-channel-community exposures to the next.","claim_kind":"INFERENCE"},{"archetype_element":"surface coordinates obscure operative directions","domain_realization":"Post volume, keyword counts, account scores, and channel totals may each be modest even when their joint pattern is persistent or growing.","claim_kind":"HYPOTHESIS"},{"archetype_element":"invariant or approximately invariant modes","domain_realization":"Recurring mixtures of frames, sources, channels, and communities that approximately preserve their composition across successive bins.","claim_kind":"HYPOTHESIS"},{"archetype_element":"scalar modal response","domain_realization":"Estimated persistence, decay, growth, or oscillation of each mixture within a declared observation window.","claim_kind":"INFERENCE"},{"archetype_element":"modal intervention","domain_realization":"Analysts investigate the cells contributing most to a validated risky mode rather than acting on a single keyword or account.","claim_kind":"HYPOTHESIS"},{"archetype_element":"residual and drift governance","domain_realization":"Held-out reconstruction error, structured residuals, basis rotation, and spectral-gap changes determine whether the model remains usable.","claim_kind":"INFERENCE"}],"component_map":[{"component":"Transformation Scope","status":"adapted","domain_realization":"The transition from one time-binned exposure distribution to the next within named platforms, channels, populations, and dates."},{"component":"State-Vector Definition","status":"adapted","domain_realization":"Normalized exposure counts over prespecified frame-source-channel-community cells, with missingness and coding uncertainty retained."},{"component":"Invariant Mode Basis","status":"adapted","domain_realization":"Approximately persistent mixtures recovered from the estimated transition operator; they are descriptive patterns, not natural kinds."},{"component":"Modal Gain Spectrum","status":"direct","domain_realization":"Estimated gain or persistence for every retained mode, with uncertainty intervals."},{"component":"Dominant Mode Selection Rule","status":"adapted","domain_realization":"Select modes only when held-out contribution, harmful-exposure relevance, stability, and residual improvement exceed preregistered thresholds."},{"component":"Stable/Unstable Mode Partition","status":"adapted","domain_realization":"Classify modes as decaying, marginal, growing, or oscillatory only within the fitted temporal regime."},{"component":"Modal Intervention Map","status":"adapted","domain_realization":"Map a flagged mode back to contributing cells and to reversible investigative actions; the mode alone never authorizes content sanctions."},{"component":"Reconstruction Residual Check","status":"direct","domain_realization":"Reconstruct held-out state transitions and inspect both error magnitude and structured omissions."},{"component":"Mode Drift Monitor","status":"direct","domain_realization":"Track gain changes, basis rotation, mode swapping, and residual growth across refresh windows."},{"component":"Interpretation Scope Contract","status":"direct","domain_realization":"State platforms, populations, coding rules, time scale, uncertainty, descriptive status, and forbidden causal or ideological interpretations."},{"component":"Mode-Coupling Register","status":"direct","domain_realization":"Record near-degenerate, non-orthogonal, or perturbation-linked modes that cannot be interpreted independently."},{"component":"Local Linearization Window","status":"adapted","domain_realization":"The bounded period and exposure range over which the estimated linear transition approximation passes holdout checks."},{"component":"Spectral Gap Threshold","status":"direct","domain_realization":"A preregistered minimum separation between actionable and excluded modes; failure suspends simplified interpretation."}],"mechanism_dispositions":[{"slug":"eigendecomposition_workflow","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Apply to an explicitly specified but empirically estimated lagged transition matrix; report conditioning and estimation uncertainty rather than treating the operator as known truth.","counterfactual_removal":"Without a basis and gain spectrum, the proposed coupled amplification direction cannot be identified or tested."},{"slug":"modal_sensitivity_sweep","disposition":"selected_supporting","contribution_type":"OPERATIONAL","adaptation_or_rejection":"Use bounded perturbations or matched historical variation to rank which contributing cells change harmful-exposure forecasts and to register cross-effects.","counterfactual_removal":"Alerts remain descriptive and provide a weaker, less auditable investigative priority map."},{"slug":"modal_stability_analysis","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Classify narrative modes by estimated repeated-transition behavior inside the declared time window.","counterfactual_removal":"The analysis cannot distinguish transient prominence from persistent or growing amplification."},{"slug":"mode_shape_testing","disposition":"selected_supporting","contribution_type":"TEST_DESIGN","adaptation_or_rejection":"Adapt physical excitation to observational validation across held-out periods and naturally occurring input shocks; unobserved modes are not declared absent.","counterfactual_removal":"Internal decomposition remains possible, but empirical validation against actual media behavior is materially weaker."},{"slug":"network_spectral_centrality_analysis","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"Node importance is not the target; ranking actors would collapse the coupled frame-source-channel problem into individual centrality.","counterfactual_removal":"No causal or operational element changes."},{"slug":"power_iteration_probe","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"A dominant-only estimate is unsafe when several near-degenerate narrative modes may matter; the bounded pilot can estimate a broader spectrum.","counterfactual_removal":"No proposed step depends on it."},{"slug":"principal_component_analysis","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"High variance does not establish temporal persistence or amplification and may prioritize routine traffic.","counterfactual_removal":"The transition-based causal chain is unchanged."},{"slug":"reduced_order_model","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"A runnable surrogate is unnecessary for the first detection test and could encourage unjustified policy simulation.","counterfactual_removal":"Detection, validation, and safety gating remain intact."},{"slug":"residual_reconstruction_test","disposition":"selected_load_bearing","contribution_type":"TEST_DESIGN","adaptation_or_rejection":"Evaluate magnitude and structure of errors on future held-out bins and known high-consequence cases.","counterfactual_removal":"There is no defensible stopping rule for mode selection or check that low-salience behavior was discarded."},{"slug":"singular_value_decomposition","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"Input-output singular directions can diagnose transient gain but are not invariant temporal modes; reserve them for a later non-normality diagnostic.","counterfactual_removal":"The primary invariant-mode test remains executable."},{"slug":"spectral_decomposition_report","disposition":"selected_load_bearing","contribution_type":"SAFETY_GUARDRAIL","adaptation_or_rejection":"Publish the interpretation contract, uncertainty, residuals, couplings, and prohibited uses with every alert batch.","counterfactual_removal":"Tentative descriptive modes could be laundered into causal claims or actor-level sanctions, hard-gating safe use."},{"slug":"spectral_gap_monitor","disposition":"selected_load_bearing","contribution_type":"OPERATIONAL","adaptation_or_rejection":"Re-estimate separation and basis drift each window; suspend alerts when thresholds fail or modes swap identity.","counterfactual_removal":"A once-valid simplification could silently persist after regime change, making live use nonviable."}],"causal_chain":["A lagged operator represents transitions among coupled exposure coordinates within a bounded regime.","Decomposition identifies approximately persistent mixtures and estimates each mixture's gain.","Stability and held-out residual tests distinguish growing, decision-relevant modes from transient traffic and model omissions.","Sensitivity analysis maps a validated risky mode back to cells where investigative attention has leverage.","A shadow-mode alert prompts evidence review before any content action; gap, drift, and interpretation gates constrain use.","HYPOTHESIS: Earlier targeted review reduces detection delay without increasing unjustified sanctions."],"baseline":"Keyword trends, topic-volume dashboards, viral-post lists, account-level risk scores, and aggregate engagement thresholds reviewed separately.","nearest_rival":"Dynamic topic or frame tracking with change-point and diffusion-cascade alerts, which models temporal emergence but need not identify invariant coupled directions or their gains.","authority_safety":{"affected_parties":["audiences whose exposure is measured","creators and publishers represented in the data","communities encoded by analysts","journalists, fact-checkers, and moderators receiving alerts"],"decision_authority":"A designated media-integrity research lead may authorize the pilot; privacy and research-ethics reviewers approve data use. Editorial or platform policy owners retain separate authority over any response.","authorized_first_step":"Run a preregistered retrospective shadow test on deidentified archived data from one bounded platform-channel setting, compare alert lead time and false-alert rate against baseline and nearest rival, and take no live content action.","excluded_actions":["automatic removal, demotion, labeling, account sanction, or user targeting","inferring intent, ideology, identity, or truth from mode membership alone","individual-level publication or cross-context reuse of the model","live deployment when residual, drift, uncertainty, or spectral-gap gates fail"],"halt_rollback":"Stop if privacy review fails, held-out residual exceeds budget, mode identity is unstable, the gap remains below threshold, or false alerts disproportionately burden a protected or viewpoint-defined group. Disable alerts, retain an audit record, and revert to ordinary review."}},"negative_tests":{"strongest_counterevidence":"Held-out episodes show that individual topic, account, or cascade measures predict detection timing and harmful exposure as well as the modal model, while extracted modes rotate, lack a usable gap, or add false alerts.","analogy_break":"Media actors interpret and strategically alter messages; the estimated operator can change in response to coverage, moderation, or measurement. Modes therefore need not remain invariant and cannot by themselves establish causal influence or semantic unity.","failure_condition":"No sufficiently stationary local window, unstable coding, severe missing cross-channel exposure, non-normal transient effects, or a residual budget incompatible with useful compression.","problem_falsifier":"Across preregistered held-out incidents, coupled modes provide no material lead-time, calibration, or residual-structure advantage over separate surface metrics and the nearest rival.","intervention_falsifier":"Even when a validated modal alert occurs earlier, blinded reviewers do not reach reliable evidence assessments sooner, harmful exposure is not reduced in simulation or authorized follow-up, or false interventions increase.","risks":["Mode labels may reify analyst-defined frames or encode political bias.","Aggregate patterns may be used to stigmatize communities or publishers.","Surveillance and linkage can create privacy harms.","Adaptive actors may game monitored coordinates.","Near-degenerate or non-normal modes may produce unstable explanations.","Early alerts may accelerate attention to the very narrative being monitored."]},"null_rationale":null,"classification":{"candidate_kind":"MECHANISM_ADAPTATION","prior_art_status":"UNSEARCHED","evidence_maturity":"HYPOTHESIS"},"revision_change_log":{"revision_kind":"ORIGINAL","prior_problem_id":null,"prior_causal_lever_id":null,"problem_changed":false,"causal_lever_changed":false,"conceptual_changes":[],"operational_changes":[],"repairs_addressed":[]},"confidence":0.78,"generator_notes":"Closed-book structural transfer. The fit depends on an estimable, locally stable exposure-transition operator and is not a claim that narrative modes are causal, semantically natural, or novel."}