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Record W3026294104 · doi:10.82308/44104

Evolution education in Canada's museums: where is human evolution?

2011· article· en· W3026294104 on OpenAlexaboutno aff
Sarah M. Bean

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicEvolution and Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsHuman evolutionPolitical scienceHistoryGeographyArchaeology

Abstract

fetched live from OpenAlex

Bien que l'intérêt envers les origines de l'Homme soit un universel culturel, plusieurs points de vue et croyances divergent au sujet du commencement de l'humanité. Au Canada, un récent sondage (2010) de la firme Angus Reid a révélé que seulement 61% des Canadiens acceptent le fait que l'humain ait évolué sur une période de millions d'années, et 39% croient plutôt au créationnisme ou ne considèrent pas l'évolution comme un fait scientifique. Ces statistiques suggèrent que l'évolution de l'homme soit un sujet qui doit être abordé. Cette thèse étudiera le rôle que jouent les musées dans l'éducation de la population à propos de l'évolution de l'homme. Le nombre de musées canadiens présentant une exposition sur le sujet n'était pas encore connu avant la réalisation de cette étude. Selon les résultats de celle-ci, seuls deux des seize musées canadiens qui y ont pris part consacraient une exposition permanente à l'évolution de l'homme, et un autre musée, créationniste, proposait une version biblique des origines de l'homme. Cette thèse démontre que davantage de musées canadiens devraient envisager d'avoir pour objectif l'éducation de la population sur l'évolution humaine.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.580

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0180.008
Scholarly communication0.0090.003
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0180.001

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 head0.033
GPT teacher head0.230
Teacher spread0.197 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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