MétaCan
Menu
Back to cohort
Record W2048320988 · doi:10.1080/13664530802259222

Science teacher development through collaborative action research

2008· article· en· W2048320988 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.

Bibliographic record

VenueTeacher Development · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsLakehead UniversityBrock University
Fundersnot available
KeywordsAction researchExtant taxonValue (mathematics)CurriculumPedagogyMathematics educationAction (physics)Qualitative researchFaculty developmentTeacher educationProcess (computing)Curriculum developmentPsychologyScience educationProfessional developmentSociologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

This article explores the views and actions of four science teachers participating in a collaborative action research project. A qualitative case study approach was used to describe and analyze the development of these teachers. This development initially involved the teachers critically comparing their extant practices to current developments in science curriculum, teaching and learning. From this iterative and reflective process, the teachers proceeded to implement curricular changes and reflect again on their modified curricular practices. The authors’ analysis of the data suggests that all participants had augmented their personal understanding of both scientific inquiry and the nature of science, and had also developed socially and professionally. Implications for the value of collaborative action research in promoting teacher development are presented.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0050.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.553
GPT teacher head0.519
Teacher spread0.034 · 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