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Record W2272524174 · doi:10.1515/ijamh-2015-0086

Male Iranian adolescent’s reasons for having an other-gender friend

2016· article· en· W2272524174 on OpenAlexaff
Nasim Bahrami, Masoumeh Simbar, AbouAli Vedadhir, William M. Bukowski, Bianca Panarello

Bibliographic record

VenueInternational Journal of Adolescent Medicine and Health · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsPopularityFriendshipFocus groupQualitative researchPsychologyContent analysisDevelopmental psychologyAdolescent healthSocial psychologyClinical psychologyMedicineNursingSociology

Abstract

fetched live from OpenAlex

AIM: The aim of this study was to identify the primary reasons why male Iranian adolescents enter into other-gender friendships. METHODS: A qualitative study was conducted with a sample of 21 male adolescents recruited in public places in Tehran, Iran. Information about each boy's experiences with other-gender friends was collected via semi-structured interviews whose contents were analyzed with a conventional qualitative content analysis approach. RESULTS: Five reasons were identified for engaging in other-gender friendships: (a) for the purpose of entertainment, (b) financial benefits, (c) increased popularity with peers, (d) sensation seeking and (e) sexual experiences. CONCLUSION: This study revealed that adolescent males do not follow appropriate goals for communicating with the other-gender. In many cases, these goals could endanger their own health and the health of their other-gender friends. Future researchers must focus on identifying and understanding the factors that influence an adolescent to enter into an other-gender friendship.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.179
GPT teacher head0.441
Teacher spread0.262 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

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