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Record W7100470011

A theoretical tool for research in science education

2010· article· en· W7100470011 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsPluralOperationalizationScience educationSet (abstract data type)Field (mathematics)Sociology of scientific knowledgePoint (geometry)Dual (grammatical number)
DOInot available

Abstract

fetched live from OpenAlex

This article pursues a dual objective. First, it seeks to present the notion of the relationship to knowledge as a valuable theoretical tool for science education research. Secondly, it aims to illustrate how this notion has been operationalized in recent research conducted in Que-bec (Canada) that focuses on teachers ‟ and students ‟ relationship to knowledge. The first portion of this article presents the notion of the relationship to knowledge, documenting its origins, usefulness and contributions to research in the field of science education. In the second portion, we present four (4) studies recently conducted in Quebec that relied on the notion of the relationship to knowledge to analyze, respectively: 1) postsecondary science students ‟ relationships to experts; 2) secondary students ‟ epistemological postures and rela-tionship to scientific knowledge; 3) the relationship to knowledge and school of primary and secondary students who repeated a school year; and 4) the relationships to knowledges (in the plural form) of preservice secondary science and social studies teachers. We also present one (1) project, in progress at this time, which is dedicated to the point of view of preservice primary teachers concerning science and science education. By way of conclu-sion, we set out some main avenues for further research and debate in science education.

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 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)0.012
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.204
GPT teacher head0.600
Teacher spread0.396 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2010
Admission routes1
Has abstractyes

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