{"closest_prior_art":[{"name":"Corpus Periodization Framework to Periodize a Temporally Ordered Text Corpus","overlap":"Segments a chronologically ordered corpus into discursively coherent periods, tests neighboring annual segments using document-frequency significance and textual similarity, and evaluates the framework on 4,821 dated articles.","remaining_difference":"It infers corpus boundaries computationally rather than preserving document-level interpretive traces alongside independently dated publication or institutional events; it does not compare hybrid, pure-stage, and pure-trend representations by their effects on document selection and contextual claims.","source_ids":["SRC2"]},{"name":"Generating Timelines by Modeling Semantic Change","overlap":"Explicitly combines gradual language evolution with reactions to dramatic events and constructs timelines of turning points using time-varying semantic representations and event influence.","remaining_difference":"Its target is automated word-semantic change and event-linked turning points, not an auditable literary-historical ledger with quoted evidence, restricted event-boundary rules, archival-gap fields, rival periodizations, and downstream selection decisions.","source_ids":["SRC3"]},{"name":"Literary Change","overlap":"Directly identifies the representational tension: narrative literary history handles individual events well but struggles with continuous trends, while quantitative curves capture gradual change but do not replace periodized narrative.","remaining_difference":"It articulates the methodological problem but does not supply the proposed source-level hybrid ledger, candidate-boundary audit, reversible quantization rule, or controlled comparison of selection and contextualization outcomes.","source_ids":["SRC1"]},{"name":"PeriodO","overlap":"Provides a first-party public gazetteer for linking, visualizing, and comparing scholarly period definitions, including overlaps and divergences among definitions.","remaining_difference":"It records published period definitions rather than deriving or testing periodization for a frozen document corpus; it has no continuous concept coding, event-evidence rule, analyst-reliability test, or decision-outcome comparison.","source_ids":["SRC4"]}],"contrastive_claim_falsifier":"The contrastive claim is falsified if stage, event-free trend, and hybrid representations produce the same ten-document selection, ordering, and four boundary-case contextual statements, or if hybrid-only differences fail to persist across the two analysts and reasonable temporal resolutions, depend on unsupported events or unstable coding, or merely reflect archive composition and terminology changes.","contrastive_claim_remaining":"For a fixed literary-historical corpus, an analyst-coded ledger that keeps gradual document-level conceptual traces separate from independently dated publication and institutional events may expose reproducible selection or contextualization errors that named stages and an event-free continuous trend cannot distinguish; unlike the adjacent methods found, this must be tested through source-supported boundary review and representation-dependent historical decisions.","experiment_id":"eoa_inverse_innovation_exp13_second_slot_policy60_20260806","gates":{"adequate_source_search":{"rationale":"The bounded search covered the exact proposal title, direct literary-periodization language, conceptual-history and semantic-change terminology, an operational period product, automated corpus periodization, and combinations of gradual trajectories with discrete events. Four opened sources span Cambridge University Press, AIS/AMCIS, ACL, and PeriodO, including two primary research sources and one first-party product.","source_ids":["SRC1","SRC2","SRC3","SRC4"],"status":"PASS"},"bounded_next_test":{"rationale":"The proposed 30-document, 12-event, two-analyst comparison is finite, reversible, and proportionate. Prior work demonstrates that bounded corpora can support tested periodization and semantic-timeline comparisons, while the pilot adds explicit analyst disagreement, interval sensitivity, boundary support, and decision-output measures.","source_ids":["SRC2","SRC3"],"status":"PASS"},"distinct_testable_claim":{"rationale":"The components are adjacent to established work, but the remaining claim is contrastive and measurable: determine whether a source-constrained hybrid representation changes specified document selections or contextual statements reproducibly relative to both stage and trend rivals. None of the retained sources reports that exact test.","source_ids":["SRC1","SRC2","SRC3","SRC4"],"status":"PASS"},"no_obvious_safety_or_authority_stop":{"rationale":"The authorized action is an internal analysis of a frozen, lawfully accessible corpus. It does not change curricula, catalogues, exhibitions, canons, or public classifications, and it forbids treating inferred membership, influence, ranking, or temporal proximity as fact or causation. Explicit halt and rollback conditions address unsupported boundaries, unstable coding, and archival gaps.","source_ids":[],"status":"PASS"},"supported_problem":{"rationale":"The core representational problem is visible: literary narrative privileges identifiable events while quantitative description captures gradual change; corpus-periodization research treats temporal segmentation as a substantive research problem; and PeriodO documents overlapping or divergent scholarly period definitions. The narrower assertion that these alternatives change document selection and contextual claims in the proposed setting has not yet been directly demonstrated.","source_ids":["SRC1","SRC2","SRC4"],"status":"PASS"}},"prior_art_disposition":"ADJACENT_PRIOR_ART","problem_evidence":{"finding":"Public sources support the tension between event-centered or periodized narratives and representations of gradual conceptual change, as well as the non-uniqueness of scholarly periods and the feasibility of algorithmic corpus segmentation. They do not directly establish that the same bounded literary corpus yields consequentially different selection, ordering, or contextualization decisions, so the problem is visible but the proposal-specific consequence remains to be tested.","source_ids":["SRC1","SRC2","SRC4"],"status":"PARTLY_SUPPORTED"},"research_id":"eoa_inverse_innovation_exp13_light_screen_20260806","schema_version":1,"screen_id":"E13P155","screen_survival":true,"search_lanes":{"component_combination":{"no_result_note":null,"queries":["historical corpus continuous trajectories discrete events model humanities","semantic change historical events timeline corpus turning points","periodization ledger conceptual change historical events corpus"],"source_ids":["SRC1","SRC2","SRC3"]},"direct_problem_and_intervention":{"no_result_note":null,"queries":["\"Scale-Sensitive Periodization Ledger\"","\"hybrid periodization\" literary history concept events","literary history periodization gradual change events digital humanities periodization model"],"source_ids":["SRC1","SRC2"]},"products_practices_and_standards":{"no_result_note":null,"queries":["PeriodO scholarly periods gazetteer official","historical periodization continuous change discrete events temporal modeling humanities"],"source_ids":["SRC4"]},"synonyms_and_historical_terms":{"no_result_note":null,"queries":["digital humanities conceptual change corpus institutional events periodization","literary history corpus periodization change points concepts events","semantic change historical events timeline corpus turning points"],"source_ids":["SRC2","SRC3"]}},"sources":[{"claims_supported":["Literary narrative is effective for individual events but struggles with continuous trends.","Quantitative methods can represent gradual literary change, while rapid changes and the demand for narrative meaning remain.","Periodized narrative and quantitative trend are alternative, non-interchangeable modes of historical description."],"publisher":"Cambridge University Press","source_id":"SRC1","source_type":"SECONDARY_RESEARCH","title":"Literary Change","url":"https://www.cambridge.org/core/books/abs/cambridge-companion-to-literature-in-a-digital-age/literary-change/624920D136B59FD3030D4F9A33326F57"},{"claims_supported":["Corpus periodization is used in historical and social research to segment temporally ordered corpora into coherent periods.","The proposed framework tests changes between neighboring segments using document-frequency significance and textual similarity.","The authors evaluated automated reduction of 28 annual segments to seven or fewer periods in a 4,821-article corpus."],"publisher":"Association for Information Systems, AMCIS 2016 Proceedings","source_id":"SRC2","source_type":"PRIMARY_RESEARCH","title":"Corpus Periodization Framework to Periodize a Temporally Ordered Text Corpus","url":"https://aisel.aisnet.org/amcis2016/Decision/Presentations/15/"},{"claims_supported":["Language can evolve gradually and also respond sharply to dramatic events.","The method constructs historical turning-point timelines from words or events using static and time-varying embeddings.","The reported evaluations test whether semantic change and event influence can be captured."],"publisher":"Association for Computational Linguistics","source_id":"SRC3","source_type":"PRIMARY_RESEARCH","title":"Generating Timelines by Modeling Semantic Change","url":"https://aclanthology.org/K19-1018/"},{"claims_supported":["PeriodO is a public-domain gazetteer of scholarly definitions of historical, art-historical, and archaeological periods.","The product supports linking datasets whose period definitions differ and makes overlapping or divergent definitions visible.","Its dataset and software are directly available from the project."],"publisher":"PeriodO project","source_id":"SRC4","source_type":"FIRST_PARTY_PRODUCT","title":"PeriodO – Periods, Organized","url":"https://perio.do/en/"}],"world_novelty_boundary":"This bounded public-web screen found close components and strong adjacent practice, not an exact retained source for the full literary-historical ledger and decision-comparison protocol. It cannot establish world novelty, patentability, market size, expert acceptance, realized value, or absence of uncrawled, paywalled, non-English, archival, or unpublished precedents."}