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Record W2970934164 · doi:10.1108/qrj-02-2019-0023

The Supermodel Astronaut Challenge: traversing frames of mind

2019· article· en· W2970934164 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

VenueQualitative Research Journal · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsLakehead University
Fundersnot available
KeywordsSociologyAestheticsPledgePedagogyLawPolitical scienceArt

Abstract

fetched live from OpenAlex

Purpose The Supermodel Astronaut (SMA) Challenge began with a group of women in a graduate class who joined together to take the pledge “I Am Enough.” The goals of the pledge are to practice positive affirmative actions of self-acceptance, self-grace, self-improvement and positive encouragement of oneself and others. The paper aims to discuss this issue. Design/methodology/approach The SMA Challenge involves an online video pledge to encourage women and girls to demonstrate their opposition to the promotion of singular ideals of body perpetuated through media. Various individuals and groups have created music videos titled SMA to the soundtrack created by Ellen Tift (the originator of the project). Findings Here, framed by Daignault’s (1983) theories on curriculum construction, the authors critically reflect on their support of the idea of the video, but also their apprehension and insecurities in participating in the video production. Originality/value From reflections, writings and dialogic discussions, they determined five embodied frames of mind that supported them in traversing the liminal space of new learning: imagining the possible, learning in doing, settling in vulnerability, journeying through empowerment and heightening self-reflection.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.267
GPT teacher head0.489
Teacher spread0.222 · 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