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Record W3091079443 · doi:10.1177/109258721602100204

Hot Interpretation of Controversial Topics at Batoche National Historic Site, Saskatchewan, Canada

2016· article· en· W3091079443 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Interpretation Research · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsLakehead UniversityUniversity of Alberta
Fundersnot available
KeywordsInterpretation (philosophy)NarrativeHistoric siteResistance (ecology)SociologyHistoryEnvironmental ethicsEpistemologyArchaeologyComputer scienceEcologyLiteratureArt

Abstract

fetched live from OpenAlex

Historic sites can facilitate public interaction with controversial topics through “hot interpretation” that promotes affective responses. The goal of this article is to critically analyze the evolution of interpretive messaging of the armed resistance of 1885 at Batoche National Historic Site, Canada, through the lens of hot interpretation. Based on a literature review, interpretation evaluations, and site visits, the authors examine how collaborative management approaches have fostered an evolution in interpretation from the one-truth, to parallel narratives, and finally to the “many voices” approach within the hot interpretation framework. This overview suggest how collaborative management approaches and progressive interpretation strategies can heal the hurt of the past, validate various depictions of history, provide venues for democratic discourse about contested issues, generate new thinking, and support resilient communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.297
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it