Development and preliminary validation of a scale of psychache.
Bibliographic record
Abstract
This article details the construction and psychometric evaluation of a scale of psychache. Two studies were conducted to describe the Psychache Scale's development and construct validity with 505 university undergraduate participants. Analyses indicated that the scale of psychache had strong internal consistency reliability, criterion validity for indicating various suicide criteria, and incremental validity, relative to other established psychological antecedents of suicide measures, for statistically predicting status on these suicide criteria. Findings support both the construct validity of the Psychache Scale and Shneidman's theory that emphasizes the pre-eminence of psychache as a cause of suicide. Cet article presente en details l'elaboration et l'evaluation psychometrique d'une echelle de la douleur psychologique insupportable. Deux etudes ont ete menees dans le but de decrire l'elaboration de cette echelle de la douleur psychologique insupportable et sa validite de construit aupres de 505 etudiants universitaires poursuivant des etudes de premier cycle. Les analyses ont revele que l'echelle de la douleur psychologique insupportable possede une forte fidelite de coherence interne, une validite predictive en fonction de differents criteres relatifs au suicide, ainsi qu'une validite differentielle, si on la compare a d'autres mesures psychologiques du suicide reconnues, dont le but est de predire statistiquement le statut de ces criteres relatifs au suicide. Nos conclusions soutiennent a la fois la validite de construit de l'echelle de la douleur psychologique insupportable et la theorie de Shneidman, qui met en evidence le role preponderant que joue la douleur psychologique insupportable comme cause de suicide.
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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 | 0.015 | 0.054 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".