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Record W2131954619 · doi:10.1002/sce.10008

Science, culture, and the emergence of language

2002· article· en· W2131954619 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

VenueScience Education · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSalientDeixisPhilosophy of scienceGestureSociologyNatural (archaeology)PerceptionScience educationFocus (optics)LinguisticsEpistemologyPsychologyPedagogyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Abstract A major achievement in the sociology and philosophy of science over the past two decades has been the recognition that science is a form of culture with its own creeds, language, material practices, perceptions, theories, and beliefs. Learning science then amounts to participation (from more peripheral to central ways) in the particular practices of this culture. We argue here that there are some fundamental, heretofore neglected, ways in which newcomers come to perceive and talk about natural phenomena. Beginning with “muddled” talk and supported by deictic and iconic gestures, learners isolate salient objects and events which are, in increasing ways, represented in linguistic forms. More abstract forms of communication (writing, abstract symbols) are competently used only later in the emerging communicative patterns. As such, there lies tremendous potential in science activities that focus on observational and theoretical language in the presence of the relevant phenomena. © 2002 Wiley Periodicals, Inc. Sci Ed 86: 368–385, 2002; Published online in Wiley Interscience (www.interscience.wiley.com). DOI 10.1002/sce.10008

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)0.001
metaresearch head score (Gemma)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.009
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.298
Teacher spread0.278 · 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