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Record W2039413064 · doi:10.1080/03057260903562342

Connecting research in science literacy and classroom practice: a review of science teaching journals in Australia, the UK and the United States, 1998–2008

2010· review· en· W2039413064 on OpenAlexaff
Brian Hand, Larry D. Yore, Susan Jagger, Vaughan Prain

Bibliographic record

VenueStudies in Science Education · 2010
Typereview
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsScientific literacyDisciplineScience educationLiteracyScience, technology, society and environment educationSocial science educationInformation literacyPedagogyNature of ScienceMathematics educationSociologyEducational researchPsychologySocial science

Abstract

fetched live from OpenAlex

In the last 15 years (1994–2009), there has been considerable increased research interest in: (1) characterising the distinctive nature and constitutive elements of science literacy and (2) investigating classroom practices or necessary conditions that enable students to acquire this disciplinary capacity. This raises the question of the extent to which this research agenda and emerging findings have been reflected in science teaching journals that seek to influence classroom practice. In this paper, we review the content of science teaching journals in Australia, the UK and the USA, 1998–2008, to identify the degree of alignment between these two literatures. We found a research‐practice gap, with the science teaching journals more often citing research from literacy education than from science education. We conclude by considering the implications of these findings as well as possible strategies to develop a more generative relationship between research on the acquisition of science literacy and teacher journal prescriptions in this area.

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)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0150.022
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.440
GPT teacher head0.665
Teacher spread0.225 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations48
Published2010
Admission routes1
Has abstractyes

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