MétaCan
Menu
Back to cohort
Record W2056839815 · doi:10.1177/0963662507075649

School science and its controversies; or, whatever happened to scientific literacy?

2007· article· en· W2056839815 on OpenAlexafffund
Steven L. Turner

Bibliographic record

VenuePublic Understanding of Science · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsScientific literacyPublic awareness of sciencePromotion (chess)Science educationScience, technology, society and environment educationScience communicationSocial science educationSociologyLiteracyPolitical sciencePublic relationsField (mathematics)PedagogySocial scienceEngineering ethicsPoliticsLaw

Abstract

fetched live from OpenAlex

The 1980s saw the rise of the public understanding of science, as a movement and as a research field. The decade also saw the goal of K-12 science instruction reoriented toward the promotion of scientific literacy for all students. This paper explores the subsequent relationship of these two movements. It examines debates over K-12 science curricular reform, with particular focus on “civic scientific literacy,” the introduction of science, technology, and society (STS) issues into classrooms, and the gradual retreat from STS-oriented reforms. It discusses how those debates may have been influenced by findings from the public understanding of science, and argues that educational debates themselves provide an important resource for probing larger issues of public understanding.

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)0.011
metaresearch head score (Gemma)0.028
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0120.050
Scholarly communication0.0160.017
Open science0.0010.005
Research integrity0.0080.012
Insufficient payload (model declined to judge)0.0080.001

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 head0.183
GPT teacher head0.421
Teacher spread0.238 · 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

Citations66
Published2007
Admission routes2
Has abstractyes

Explore more

Same venuePublic Understanding of ScienceSame topicScience Education and PedagogyFrench-language works237,207