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Record W1594893831 · doi:10.22329/jtl.v9i1.3597

Implementation of a body image program as a twisty country lane

2013· article· en· W1594893831 on OpenAlexvenueaboutno aff
Lorayne Robertson, Dianne Thomson, Wendy Barber

Bibliographic record

VenueJournal of Teaching and Learning · 2013
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumResource (disambiguation)TerrainIntervention (counseling)Mathematics educationMedical educationPsychologyPedagogyComputer scienceGeographyMedicineCartography

Abstract

fetched live from OpenAlex

A teachers’ organization developed a grade-specific body image curriculum which was implemented in one Canadian province. The lessons were designed to promote body acceptance and to help students recognize and resist mediated constructions of ideal size and shape. One year after its introduction, a research study investigated the body image program’s implementation in six schools in different school districts. Data for the study include interviews with close to fifty teachers and surveys completed following the professional development sessions at the program’s introduction. The findings from this study indicate that, in addition to implementation factors such as resources, body image intervention programs at the school level are impacted by the complex ways in which bodies, including teachers’ bodies, are positioned socially. While the intent of the program was to provide a rich resource of materials for teachers, teachers needed more opportunities for reflection and support as they navigated new terrain. As a result, this particular curriculum implementation journey more closely resembled a road trip on a twisty country lane than one that took the shortest distance between two points.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.362
Teacher spread0.354 · 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 designOther design
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
Published2013
Admission routes2
Has abstractyes

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