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The Hmong Youth Task Force: Evaluation of a Coalition to Address the Sexual Exploitation of Young Runaways

2007· article· en· W2067317032 on OpenAlex
Elizabeth Saewyc, Windy Solsvig, Laurel Edinburgh

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

VenuePublic Health Nursing · 2007
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsCommunity Based Research CentreUniversity of British Columbia
Fundersnot available
KeywordsTask forceTask (project management)Sexual behaviorCriminologySexual abusePsychologyPoison controlHuman factors and ergonomicsMedicinePolitical scienceSocial psychologyMedical emergencyEngineering

Abstract

fetched live from OpenAlex

The Minnesota Wheel of Public Health Nursing Interventions identifies coalition building and community organizing as effective strategies for addressing population health issues. One program that exemplifies these strategies is the Hmong Youth Task Force, a coalition formed to address a growing issue of young Hmong girls in a Midwest state running away from home, being truant from school, and experiencing subsequent sexual exploitation. This is an evaluation of the Task Force. It draws on existing records and semi-structured interviews with Task Force members from various sectors of government, health services, and community organizations, including public health nurses. The results, evaluated in the context of best practices identified by the Wheel of Interventions, document the Task Force's development, accomplishments, challenges faced, and community changes that have resulted from the coalition's efforts to date.

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)0.025
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
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 head0.409
GPT teacher head0.525
Teacher spread0.116 · 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