MétaCan
Menu
Back to cohort
Record W4319303946 · doi:10.1080/09515070.2023.2173147

Assessing psychotherapy as a western healing practice through prediction of help-seeking attitudes

2023· article· en· W4319303946 on OpenAlexaff
Jessica Y. Ahn, Robinder P. Bedi, Rajneesh Choubisa, Namita Ruparel

Bibliographic record

VenueCounselling Psychology Quarterly · 2023
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOpenness to experiencePsychologySocial psychologyWesternizationTest (biology)PsychotherapistCultural diversityClinical psychologyCross-cultural studiesSociologyPolitical science

Abstract

fetched live from OpenAlex

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.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.170
GPT teacher head0.478
Teacher spread0.309 · 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 teacher head, not a consensus.

Study designObservational
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCounselling Psychology QuarterlySame topicCultural Differences and ValuesFrench-language works237,207