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Record W2213196948 · doi:10.7870/cjcmh-2005-0006

Les Représentations Sociales de la Grossesse à L'Adolescence: Des Prises de Position Dominantes Et D'Autres … Déstabilisantes

2005· article· fr· W2213196948 on OpenAlexaffvenue
Francine Dufort, Kathleen Boucher, Édith Guilbert, Louise Saint-Laurent, Laurence Fortin-Pellerin

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2005
Typearticle
Languagefr
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsGynecologyMedicinePsychology

Abstract

fetched live from OpenAlex

This study was undertaken to gather information on the social representations of teenage pregnancy among adolescents, aged between 15 and 17. Eighteen focus groups were conducted among 150 boys and girls. The data were subjected to a qualitative content analysis. Results show that youths did not form homogeneous groups. The points of view expressed gave rise to 4 dimensions (emotive, reflexive, psychobiological, economic-social) and 4 positions (negative, positive, ambivalent and dynamic). From these dimensions and positions, 4 representations of teenage pregnancy were identified: pregnancy as a problem, pregnancy as a project, pregnancy as a source of tension, and pregnancy as a source of power. This study illustrates the importance of educative strategies such as going beyond alarmist preventive messages, opening dialogue with and between youngsters, and promoting social support and mutual aid.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.006
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0010.002
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 head0.102
GPT teacher head0.487
Teacher spread0.385 · 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 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

Citations2
Published2005
Admission routes2
Has abstractyes

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