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Record W2083323772 · doi:10.1080/073993302317346334

DATA COLLECTION STRATEGIES FOR ACCESSING ADOLESCENT WOMEN'S WORLDS

2002· article· en· W2083323772 on OpenAlexaff
Elizabeth Banister, Betty Tate, Nancy E. Wright, Sonya Rinzema, Linda Margaret Flato

Bibliographic record

VenueHealth Care For Women International · 2002
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsConstruct (python library)Data collectionVariety (cybernetics)PsychologyConsciousnessYoung personPower (physics)Social worldsDevelopmental psychologySocial psychologySociologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

A two-year study was initiated in 1999 to investigate adolescent women's health concerns pertaining to their relationships. Data were obtained from four groups of girls (ages 14-19; N = 31) that met for approximately 18 weeks each. To help equalize power in the groups and facilitate a respectful and caring environment, we encouraged each group to use a variety of strategies, including those based on feminist principles. Data collection procedures based on feminist values can enable researchers to gain rich descriptions on the lived experience of adolescent women. Such procedures can help create an environment in which individuals can articulate their concerns and collectively co-construct the meanings of life events in health-promoting and consciousness-raising ways.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.184
GPT teacher head0.485
Teacher spread0.301 · 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 designNot applicable
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

Citations13
Published2002
Admission routes1
Has abstractyes

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