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Record W2142769778 · doi:10.1177/0743558407310733

Tough Teens

2008· article· en· W2142769778 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Adolescent Research · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Educational Sciences
Canadian institutionsUniversity of British ColumbiaDalhousie University
Fundersnot available
KeywordsInterviewConversationPsychologySemi-structured interviewSocial psychologyDevelopmental psychologyMedical educationQualitative researchSociologyMedicineSocial scienceCommunication

Abstract

fetched live from OpenAlex

Encouraging a teenager to have a conversation in a semistructured research interview is fraught with difficulties. The authors discuss the methodological challenges encountered when interviewing adolescents of European Canadian, African Canadian, and Punjabi Canadian families who took part in the Family Food Decision-Making Study in two regions of Canada. The researchers were interested in how family members made decisions about food choices. In all, 47 adolescents from 36 families agreed to an interview. The authors found recruitment of teens, locating a quiet space for interviews, the silencing effects of the tape recorder, and asking about abstract concepts to be constraints on adolescents' conversational abilities. Although each interviewer encountered many of the same challenges, some of those challenges played out differently in different ethnocultural groups. This article intersperses discussion about the challenges encountered with the four interviewers' reflections on their interviews with teens and with data from the interviews.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.073
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.454
GPT teacher head0.541
Teacher spread0.087 · 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