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Record W7132881201

Nature of science portrayals in historical accounts within a sample of Canadian biology textbooks

2007· dissertation· W7132881201 on OpenAlexaboutno aff
Athanasios Seliotis

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsContent analysisSample (material)Ideal (ethics)Qualitative analysisInclusion (mineral)Qualitative researchHistory of science
DOInot available

Abstract

fetched live from OpenAlex

The nature of science portrayed in history of science narratives/vignettes within biology textbooks were analyzed to examine the nature of science portrayed in history of science narratives/vignettes within them. This was carried out through a qualitative analysis and content analysis of topics within fourteen secondary school biology textbooks used in Canadian high schools covering a majority of Canadian jurisdictions. Criteria for inclusion in this study were based on the recommendation of the various provincial ministries of education. Provincially approved or authorized list of resources for use in the classroom or recommended resources were consulted and a list of textbooks was derived. Qualitative analysis and content analysis indicated a heroic, ideal and rationalist and realist view of the nature of science within historical vignettes. Recommendations for more authentic nature of science are discussed.

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)0.005
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.979

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.009
Science and technology studies0.0130.011
Scholarly communication0.0070.003
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.068
GPT teacher head0.478
Teacher spread0.410 · 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.

Study designQualitative
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
Published2007
Admission routes1
Has abstractyes

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