Cross-cultural application of self-in-relation theory
Bibliographic record
Abstract
English The purpose of this qualitative study is to examine the manner in which ‘selfinrelation’ theory applies to Asian (Taiwanese) women. The findings indicate that participants' perceptions of self and others vary based on distinctive social categories. Implications for culturally appropriate social work practice, in particular the working alliance, are addressed. French L'objectif de cette étude qualitative est d'analyser la façon dont la théorie du 'sentiment de soi en interrelation' s'applique aux femmes asiatiques de Taïwan. Les résultats indiquent que la perception des participantes à l'égard de soi ou des autres varie en fonction de diverses catégories sociales. D'après ce constat, l'auteur analyse comment adapter la pratique du travail social du'point de vue culturel et il se penche tout particulièrement sur l'alliance thérapeutique. Spanish Este estudio cualitativo examina de qué forma la teoría 'el-sí-mismo-en-relación' ('self-in-relation') es aplicable a mujeres asiáticas de Taiwán. Los resultados indican que las percepciones de las participantes acerca de sí mismas y otros varían según categorías sociales distintivas. Se examinan las implicaciones para el trabajo social, en particular para el establecimiento de la alianza trabajador-usuario.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".