Assessing psychotherapy as a western healing practice through prediction of help-seeking attitudes
Bibliographic record
Abstract
This exploratory study assessed the ability of six theory-derived variables representing possible signifiers for the Western cultural components of psychotherapy for predicting attitudes towards professional psychological help-seeking. Using data from 377 participants from India, regression analyses were conducted to test six hypotheses derived from Frank’s and Frank common factors model of psychotherapy. Results indicated a positive relationship between European American values and help-seeking attitudes, a negative relationship between Asian values and help-seeking attitudes, a positive relationship between westernization and help-seeking attitudes, and a negative relationship between cultural mistrust and help-seeking attitudes. Assessing a client’s cultural values, endorsement of a Western lifestyle, and level of cultural mistrust may be particularly predictive in determining suitability for and openness to psychotherapy with the single best predictor being European-American values. Those who do not adhere to Western values, who endorse more Asian values, who live a visibly non-Western lifestyle, and who have high mistrust of Western culture may be better suited for more culturally congruent healing methods.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".