Self‐construal among psychiatric outpatients: A test of the golden section
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
Self-construal among individuals diagnosed with a psychiatric disorder has been examined infrequently, and many variables (e.g. sex, patient status, type of problem) possibly related to self-construal and psychological problems have yet to be examined in combination and in detail. This paper reports on research into a variety of factors that could influence self-construing as predicted by the golden section hypothesis. A study was conducted to examine how psychiatric outpatients, both male and female with varying mental health diagnoses, view themselves and others in terms of positive and negative construct poles. A card-sort repertory test was used to elicit personal constructs. Among 40 Canadian outpatient participants, the golden section could account for the overall results, with no significant statistical differences by sex or diagnosis. Some deviations from the golden section were found, however. Females with a diagnosis of schizophrenia, for example, applied more negative than positive constructs to themselves.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.044 | 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 it