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Record W1892811313

Female Elementary Teachers' Biopedagogical Practices: How Health Discourse Circulates in Newfoundland Elementary Schools.

2015· article· en· W1892811313 on OpenAlexaffvenueabout
LeAnne Petherick, Natalie Beausoleil

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2015
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsMemorial University of NewfoundlandUniversity of Manitoba
Fundersnot available
KeywordsConstruct (python library)Thematic analysisHealth promotionNarrativeSociologySchool teachersPopulationPedagogyPsychologyQualitative researchPublic healthMedicineSocial scienceNursing
DOInot available

Abstract

fetched live from OpenAlex

Epidemiological data construct the population of Newfoundland and Labrador as being one of the most obese populations in Canada. The concern for child and youth health is particularly pertinent within school culture and places teachers in precarious positions where they are being asked to share in shaping healthy lifestyle messages while also considering their own health practices. Based on interviews with 13 female elementary school teachers, we explore the ways in which dominant health messages are taken up but also challenged by teachers within school culture. A thematic analysis of teachers’ narratives highlights the moral values used in the promotion of eating and exercising in school staff rooms, the gendered and sometimes romanticized view of the past as a method for communicating contemporary health concerns, the struggle to challenge dominant health discourses, and finally, the tensions that arise for people when thinking more complexly about health and healthy living. Teachers’ concern for biopedagogical practice demonstrates how they continuously challenge but also participate in the production of the health imperative.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.241
GPT teacher head0.478
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2015
Admission routes3
Has abstractyes

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