{"actors":["Athletes participating in standardized footwear trials","Sport biomechanists and exercise physiologists","Coaches and performance staff","Equipment and procurement staff","Sports-medicine clinicians when symptoms require clinical review"],"affected_objective":"Preserve a valid squad-level conclusion about running-economy equivalence while preventing that aggregate conclusion from being treated as evidence that every tested footwear model is interchangeable for every athlete.","arm":"ORDINARY_DIVERSE_P2","authority_safety":{"authorized_first_step":"A biomechanist may retrospectively construct and shadow-run the paired athlete-condition review using already collected, access-controlled laboratory trial data; the review cannot change footwear assignments or procurement during this step.","decision_authority":"Equipment staff retain procurement authority, coaches retain sport-participation and performance-program authority, clinicians retain medical authority, and each athlete retains the ability to report discomfort or stop a trial under existing procedures.","excluded_actions":["Automated injury diagnosis or prediction","Automatic footwear assignment, athlete exclusion, or contract consequences","Inferring future injury from biomechanical excursions alone","Requiring an athlete to continue a painful or symptomatic trial","Collecting new physiological or biomechanical data without consent and governance review","Using group-level equivalence to override an existing clinical restriction"],"halt_rollback":"Stop the shadow review and return to existing procedures if trial conditions cannot be matched, athlete identities or health information become visible to unauthorized staff, sensor synchronization is unreliable, or the display conflicts with symptoms or clinical restrictions; retain only the authorized audit record and remove derived views according to data-retention rules."},"baseline":"A standardized footwear evaluation emphasizes the athlete-weighted mean oxygen cost at a fixed running speed. If the group mean remains within a predeclared equivalence band across models, equipment staff may treat the models as broadly interchangeable, while athlete-specific comfort or biomechanical differences are handled informally.","candidate_id":"ensemble_and_population_level_equilibrium_versus_individual_level_heterogeneity__sport_science__ORDINARY_DIVERSE_P2","causal_chain":["Repeated standardized trials can produce a stable athlete-weighted mean oxygen cost at a fixed speed that remains within a predeclared equivalence band across footwear models.","That valid ensemble indicator pools paired athlete-condition responses and discards the direction, persistence, and anatomical location of individual biomechanical changes.","Procurement or equipment staff may interpret group-level equivalence as evidence that any evaluated model is interchangeable for each athlete.","An athlete-model pairing may nevertheless show a repeatable change in plantar-pressure distribution, joint loading, stride variability, or reported comfort without overturning the group running-economy result.","The intervention retains the aggregate equivalence statement but displays paired within-athlete contrasts, distributional quantiles, trial quality, and clustering by relevant running characteristics.","A predeclared repeatability and relevance rule routes only the affected athlete-model pairing to human compatibility review, leaving other pairings and the procurement-level conclusion unchanged.","Continued monitoring of group running economy and athlete-level compatibility outcomes tests whether targeted assignments preserve the macro result without suppressing benign biomechanical strategies or concealing broader degradation."],"cell_id":"ensemble_and_population_level_equilibrium_versus_individual_level_heterogeneity__sport_science","consequence":"An athlete could be assigned footwear deemed interchangeable at the group level despite a repeatable athlete-specific mechanical or comfort response that makes the pairing unsuitable for continued use; indiscriminate standardization could also eliminate harmless or functional movement variation.","diversity_from_prior_proposals":"This opportunity concerns footwear evaluation and procurement, not training-load progression. Its intervention is a paired athlete-condition compatibility review, and its causal path runs from stable group running economy through concealed biomechanical redistribution to athlete-specific equipment assignment rather than from squad load completion through recovery excursions to session progression.","experiment_id":"eoa_inverse_innovation_exp13_second_slot_policy60_20260806","intervention":"Add a paired athlete-condition compatibility review to one standardized footwear evaluation. Define the ensemble as valid fixed-speed trials completed by eligible athletes under declared acclimation, order, and measurement conditions. Retain the athlete-weighted mean oxygen cost and its predeclared equivalence band as the procurement-level macro indicator. Alongside it, display paired within-athlete contrasts and repeatability for plantar-pressure distribution, selected joint moments, stride variability, and reported comfort, with missingness and trial-quality flags. Predeclare which repeated excursions warrant review, distinguish compatibility review from injury inference, and permit an authorized human to approve the general inventory while withholding or retesting only a specific athlete-model pairing. Continue reporting the aggregate indicator after any pairing-level decision.","mechanism_mapping":[{"counterfactual_removal":"Without the dashboard, the equivalence result can remain visible while paired response distributions and athlete-specific tails disappear.","mechanism_slug":"distributional_dashboard","role":"Shows group running economy together with paired contrasts, quantiles, missingness, repeatability, and trial-quality information."},{"counterfactual_removal":"Without the crosswalk, reviewers cannot determine how athlete-condition trials form the group indicator or which paired and anatomical information pooling removes.","mechanism_slug":"micro_macro_crosswalk","role":"Documents eligibility, athlete weighting, trial averaging, equivalence calculations, and information lost between individual trials and the procurement-level result."},{"counterfactual_removal":"Without stratified review, differences associated with speed tolerance, foot-strike pattern, shoe size, acclimation, or trial order may be mistaken for athlete-model incompatibility.","mechanism_slug":"stratified_sampling_review","role":"Checks coverage and comparability across declared running characteristics and experimental conditions without treating a stratum as a diagnosis."},{"counterfactual_removal":"Without a predeclared excursion rule, the additional measurements may remain descriptive or invite selective attention to whichever biomechanical contrast looks unusual.","mechanism_slug":"subgroup_excursion_alert","role":"Routes repeatable athlete-model excursions or reported symptoms to human review while leaving isolated noise and unflagged pairings unchanged."}],"nearest_rivals":["Individualized footwear fitting based solely on preference, which begins with personal selection rather than bounding interpretation of a valid group-equivalence result","Footwear efficacy comparison, which asks whether one model changes mean performance rather than whether aggregate equivalence conceals consequential athlete-model heterogeneity","Aggregation-bias correction, which would challenge the validity or weighting of the group running-economy indicator rather than retain it and restrict its level of interpretation","Biomechanical variability characterization, which maps movement differences without connecting them to a stable macro indicator and an equipment decision"],"negative_tests":{"intervention_falsifier":"The intervention is falsified as a useful decision aid if paired excursions are not reproducible under matched trials, authorized reviewers cannot distinguish compatibility-relevant patterns from ordinary movement variation with acceptable agreement, or the same pairing decisions are reached from the baseline materials without distributional information.","problem_falsifier":"The problem is undermined if paired athlete-condition responses are narrow and repeatable around the group result, no relevant athlete-model excursions remain after accounting for trial quality and order, or existing equipment decisions already document and consistently apply athlete-level compatibility evidence.","risks":["False excursions caused by sensor error, calibration drift, fatigue, acclimation, or trial order","Multiple comparisons making ordinary biomechanical variation appear decision-relevant","Laboratory responses failing to transfer to field running conditions","Procurement pressure influencing compatibility judgments","Unauthorized disclosure of identifiable physiological or biomechanical data","Over-standardization of benign or functional movement strategies","False reassurance when monitored variables omit a relevant response","Causal overreach from a biomechanical contrast to an injury claim","Small strata producing unstable or identifiable comparisons"],"strongest_counterevidence":"Existing fitting practice may already combine athlete preference, observed movement, prior use, symptoms, and clinician restrictions at the individual level, in which case the group running-economy result is only a procurement summary and does not actually cause athlete-level assignments."},"next_evidence_step":"Using already collected data from one completed standardized footwear evaluation, predeclare the eligible athlete-condition ensemble, fixed-speed window, trial averaging and weighting rules, equivalence band, quality exclusions, paired biomechanical variables, repeatability rule, missingness handling, and authorized reviewers. Retrospectively compare baseline and dual-level pairing decisions, then shadow-run the review during the next scheduled evaluation without changing procurement or athlete assignments. Record excursion reproducibility, reviewer agreement, decision differences, trial-quality failures, privacy incidents, and whether the group-equivalence conclusion remains visible.","observable_state":"Within a declared set of valid fixed-speed footwear trials, the athlete-weighted mean oxygen cost may remain inside its predeclared equivalence band across models while paired athlete-condition profiles differ in the direction or repeatability of plantar-pressure distribution, selected joint moments, stride variability, or comfort. Each observation is tagged by athlete-condition pair, trial order, acclimation status, running characteristics, sensor quality, time window, and missingness. Equivalence is asserted only for the defined ensemble indicator, not for an individual athlete's compatibility, safety, or future injury risk.","prior_art_status":"UNSEARCHED","problem":"A footwear evaluation treats stable group-level running economy across shoe models as sufficient support for considering those models interchangeable. The aggregate equivalence statement can be valid for the defined trial ensemble while concealing repeatable athlete-model differences in biomechanical load distribution, movement variability, or comfort. Treating procurement-level equilibrium as individual compatibility is a level-of-analysis error.","proposal_index":2,"remaining_contrastive_claim":"A valid group-level running-economy equivalence result should be retained as a procurement claim but bounded: repeatable athlete-model compatibility excursions should receive pairing-level human review without being treated as disproof of the aggregate result or evidence that all biomechanical heterogeneity is harmful.","revision_record":{"claim_changes":[],"conceptual_changes":[],"evidence_changes":[],"operational_changes":[],"parent_version":null,"progress_targets_addressed":["Defined a footwear-trial ensemble and explicit procurement-level equilibrium indicator","Specified how athlete-condition trials aggregate and what pairing information pooling removes","Separated group equivalence from individual compatibility, safety, and injury claims","Mapped heterogeneity by athlete, running characteristics, experimental condition, and biomechanical variable","Selected a pairing-level human intervention that can preserve the macro conclusion","Included dual-level monitoring, authority boundaries, safeguards, falsifiers, and a bounded evidence step"]},"schema_version":1,"structural_mapping":[{"archetype_element":"Ensemble Frame","domain_realization":"Valid fixed-speed athlete-condition trials from one declared footwear evaluation, with eligibility, acclimation, trial order, quality exclusions, and missingness specified."},{"archetype_element":"Macro Equilibrium Indicator","domain_realization":"Athlete-weighted mean oxygen cost at the standardized speed remaining within a predeclared equivalence band across evaluated footwear models."},{"archetype_element":"Microstate Variability Profile","domain_realization":"Paired within-athlete distributions and repeatability for oxygen cost, plantar pressure, selected joint moments, stride variability, and reported comfort."},{"archetype_element":"Aggregation Translation Rule","domain_realization":"Replicate trials are averaged within athlete-model pairs and eligible athletes are weighted into the group indicator; pooling removes response direction, anatomical redistribution, trial sequence, paired trajectories, and individual tails."},{"archetype_element":"Level-of-Analysis Boundary","domain_realization":"The macro indicator supports only a group-level running-economy equivalence statement under the tested conditions; it does not establish individual compatibility, safety, preferred footwear, or injury risk."},{"archetype_element":"Heterogeneity Relevance Test","domain_realization":"Variation becomes compatibility-relevant when it is repeatable under matched trials, meets a predeclared variable-specific rule, or accompanies reported symptoms; isolated noise and stable functional movement strategies are preserved."},{"archetype_element":"Subgroup and Locality Map","domain_realization":"Patterns are examined by athlete-model pair, anatomical loading location, shoe size, declared foot-strike pattern, acclimation status, trial order, and sensor quality without converting those characteristics into medical labels."},{"archetype_element":"Multi-Level Feedback Design","domain_realization":"The review displays procurement-level equivalence and paired athlete outcomes together, routes local excursions to authorized humans, and recomputes the aggregate view after pairing-level exclusions or retests."},{"archetype_element":"Representative Case Guardrail","domain_realization":"No unusually responsive, apparently typical, elite, or symptomatic athlete may substitute for the paired response distribution; every case is contextualized against the defined ensemble and matched trials."}],"title":"Runner–Footwear Compatibility Review Under Stable Group Economy","version":0}