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Record W2996730746 · doi:10.1177/2055102919896238

‘I drew the parts of my body in proportion to how much PCOS ruined them’: Experiences of polycystic ovary syndrome through drawings

2019· article· en· W2996730746 on OpenAlexafffund
Cassandra Thorpe, Kelly Arbeau, Benjamin Budlong

Bibliographic record

VenueHealth Psychology Open · 2019
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsTrinity Western UniversityWestern University
FundersTrinity Western University
KeywordsPolycystic ovaryOvaryPopulationPsychologyEndocrine systemMedicineClinical psychologyDevelopmental psychologyGynecologyEndocrinologyObesityHormoneInsulin resistance

Abstract

fetched live from OpenAlex

Polycystic ovary syndrome is a chronic endocrine disorder associated with persistent physical symptoms and psychological and lifestyle repercussions. Eighty-nine participants (83 females, 6 non-binary) aged 19-43 years described their experiences of polycystic ovary syndrome through drawings and personal accounts. Four descriptive themes were identified: awareness of visible and invisible symptoms, misshapen self and body, limitations and barriers and resignation. Taken together, participants described a condition with all-encompassing effects: much more than symptom management alone. Findings support the use of drawings as an appropriate method with this population and suggest continuing need for supports for individuals with polycystic ovary syndrome.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
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 studies0.0000.000
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 head0.061
GPT teacher head0.393
Teacher spread0.332 · 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.

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

Citations22
Published2019
Admission routes2
Has abstractyes

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