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Record W1580234991

(Re)Discovery: Accepting, Enduring & Surviving

2015· article· en· W1580234991 on OpenAlexaff
Claire Ahn

Bibliographic record

VenueJournal of educational enquiry · 2015
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPresentation (obstetrics)PsychologyReflection (computer programming)AestheticsPsychoanalysisPsychotherapistEating disordersCritical reflectionMedicineArtPedagogyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

The tragic reality is that more people today are succumbing to various forms of eating disorders. This article focuses on the experiences of enduring an eating disorder through a dramatic monologue followed by a critical reflection. The monologue is based on personal experiences with the disorder and provides an inner reflective voice through various events. This is followed by a discussion on the writing process, collaboration and presentation, and a brief discussion on research-based theatre. The purpose of this article is to add a voice to the disorder. Research-based theatre can provide a deeper layer of understanding about the complexities of an eating disorder and offer solace to those who are suffering and /or to those who have survived.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.023
Scholarly communication0.0100.007
Open science0.0020.011
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.002

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 head0.101
GPT teacher head0.380
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2015
Admission routes1
Has abstractyes

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