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Record W2128678385 · doi:10.1177/104973200129118426

Qualitative and Quantitative Analyses of Psychological Distress: Methodological Complementarity and Ontological Incommensurability

2000· article· en· W2128678385 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueQualitative Health Research · 2000
Typearticle
Languageen
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsComplementarity (molecular biology)DistressPsychologyQualitative researchSocial psychologyDilemmaEpistemologyQualitative propertyPsychological distressSociologyComputer sciencePsychotherapistSocial scienceMental health

Abstract

fetched live from OpenAlex

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.

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)0.024
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.925
GPT teacher head0.793
Teacher spread0.132 · 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