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Record W7096222428

Content and Style of Advice in Iran and Canada Le Contenu et la style de conseil en Iran et Canada

2016· article· en· W7096222428 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsnot available
Fundersnot available
KeywordsCollectivismStyle (visual arts)MulticulturalismAdvice (programming)Content analysis
DOInot available

Abstract

fetched live from OpenAlex

The content and nature of nonprofessional advice in Iran, a hierarchical and collectivist culture, was compared to the same type of advice in Canada, an egalitarian and indi-vidualist culture. A researcher developed a questionnaire that consisted of 10 letters, each describing a writer’s problem and asking for advice. The responses of participants to those letters were content-analyzed, which showed how advice varies between the two cultures. Implications of findings for developing multicultural techniques of counselling and psychotherapy are discussed. résumé Le contenu et le style de conseil non professionnel en Iran, une culture hiérarchique et collectiviste, a été comparé au même type de conseil au Canada, une culture égalitaire et individualiste. On a utilisé un questionnaire qui consiste en 10 lettres, chacune décrivant le problème de l’écrivain et son demande de conseil. Le contenu des réponses des partici-pants à ces lettres a été analysé, démontrant comment les conseils varient entre les deux cultures. On discute des implications des résultats pour le développement de techniques

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)0.020
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 score0.199
Threshold uncertainty score0.400

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0030.002
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.296
Teacher spread0.265 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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