MétaCan
Menu
Back to cohort
Record W2089308076 · doi:10.1177/1059840511425678

Urban Seventh Grade Students

2011· article· en· W2089308076 on OpenAlexaboutno aff
Elizabeth Burgess Dowdell

Bibliographic record

VenueThe Journal of School Nursing · 2011
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
FundersCenters for Disease Control and PreventionVillanova University
KeywordsQuarter (Canadian coin)PsychologyDescriptive researchPopulationAdolescent healthMedicineEnvironmental healthNursingGeography

Abstract

fetched live from OpenAlex

The health of adolescents and the adults they will become can be linked to the health-related behaviors they adopt as children. To replicate a pilot study with a more culturally diverse population a descriptive, correlational study was undertaken with 379 seventh grade students. Key findings from this study include (a) students exposed or involved in violence (e.g., fighting and carrying a weapon) were more likely to report smoking cigarettes, (b) nearly a quarter (24%) of students have smoked cigarettes at some time, and (c) almost half of the students (48%) reported having at least one alcoholic drink. Middle school can be critical time in the life of an adolescent who may be faced with opportunities to experiment with and participate in health risk behaviors. School nurses, practitioners, and other health care professionals are in an ideal position to assess the type of and level of participation by an adolescent in a health risk behavior.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.004

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 head0.174
GPT teacher head0.492
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of School NursingSame topicSchool Health and Nursing EducationFrench-language works237,207