Japanese Clinical Psychologists' Consensus Beliefs about Mental Health: A <scp>Mixed‐Methods</scp> Approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This study applied a two‐phase, mixed‐methods research design, grounded in cultural consensus theory (CCT), to examine shared beliefs about mental health held by Japanese clinical psychologists (CPs). In CCT, qualitative methods are first used to identify culturally salient elements of a domain; factor analysis is then used to quantify the degree of sharedness, an approach known as cultural consensus analysis (CCA). First, a free‐listing technique with 16 Japanese CPs was conducted to elicit salient terms for the two domains: (a) how members of the general public acquire beliefs about mental health; and (b) how Japanese mental healthcare ought to be reformed. In the second phase, CCA was conducted through a survey completed by 100 CPs. The free‐listing analysis generated 21 and 23 culturally salient terms for the two domains, respectively. Then, CCA demonstrated that the two domains could each be characterized as a single cultural model with a high degree of consensus. CCT provides a systematic mixed‐methods approach that is particularly well‐suited to investigating culturally grounded shared beliefs held by people in a specific cultural context.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 it