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A Novel, Intensive Home‐Visiting Intervention for Runaway, Sexually Exploited Girls

2008· article· en· W2080087611 on OpenAlexafffund
Laurel Edinburgh, Elizabeth Saewyc

Bibliographic record

VenueJournal for Specialists in Pediatric Nursing · 2008
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsTruancyPsychological interventionIntervention (counseling)EmpowermentMedicinePsychologyNursing

Abstract

fetched live from OpenAlex

PURPOSE: Few studies have examined interventions that help adolescents who run away. This study both describes a home-visiting intervention program for young, sexually assaulted runaways (10-14 years old) and provides preliminary outcomes from the first 20 female participants. DESIGN AND METHODS: Using a strengths-based approach, advanced practice nurses provided frequent home and school visits and case management, and assisted girls to access an empowerment group over a 1-year period. RESULTS: Teens' risk behaviors decreased, including truancy, runaway episodes, sexually transmitted infections, and substance use. CONCLUSIONS: Preliminary results suggest that this is an effective intervention for reducing risk behaviors and helping younger runaways reconnect to school and family. PRACTICE IMPLICATIONS: Client-centered interventions in community settings can address the complex health needs of vulnerable young runaways.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
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 head0.109
GPT teacher head0.457
Teacher spread0.348 · 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 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

Citations50
Published2008
Admission routes2
Has abstractyes

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