Qualitative and Quantitative Analyses of Psychological Distress: Methodological Complementarity and Ontological Incommensurability
Bibliographic record
Abstract
Rigorous qualitative and quantitative methodologies have been used for the development of a multidimensional scale dedicated to the measurement of psychological distress. A comparison between the idioms of distress or the cultural forms through which French Quebecois express their distress (qualitative constructs) and the nonorthogonal factors derived from explanatory and higher order factorial analyses (quantitative constructs) illustrates the possibilities of complementarity between qualitative and quantitative approaches. The comparison shows that these two operationalizations of the concept of psychological distress are founded on incommensurable representations of distress. This article concludes that this representational dilemma of distress as a lived language or as an empirical reified entity leads to an ontological and a teleological incommensurability.
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 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 | 0.289 | 0.420 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.004 | 0.029 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".