Notice bibliographique
Résumé
Can J Psychiatry 2008;53(3): 135-136 You are entitled to wonder why the Guest Editor for an In Review section on qualitative research is the Statistical Associate Editor for The Canadian Journal of Psychiatry. It is a valid question. After all, as with most clinical psychologists trained in the 1960s and 1970s, I was brought up in a positivist tradition-if it cannot be measured, it does not exist. My curriculum, which consisted of more than 20 courses, was about equally divided between clinically-oriented topics and research- oriented ones. Despite this heavy emphasis on methodology, the word research was synonymous with the term quantitative research. Indeed, the adjective itself was never used, because no one on faculty could even conceive of research that did not involve quantification. We did learn about studies that used introspection to examine people's perceptions, but that was in a course on the history of psychology, and was used to demonstrate how far the science of psychology had progressed since the end of the 19th century, in that more precise instruments had replaced reliance on the reporting of subjective experiences. It was only when I became involved in a series of multidisciplinary studies of the effects of environmental hazards1 that I began to appreciate what the qualitative approach can add to the study of various phenomena. In one study, for example, the quantitative component clearly showed that people's anxiety levels regarding the adverse effects of a new landfill site decreased markedly in the months following its opening, but could not tell us why this happened. It was only when we followed up the large, quantitative study with more directed focus groups and in-depth interviews that the reasons emerged.2 Since that time, I have become a strong advocate of using qualitative and quantitative approaches individually and together,3 especially in the design of new measurement tools.4,5 In a way, this evolution parallels that of medicine in general, and psychiatry in particular, with those involved having ambivalent feelings toward qualitative research. Both began in times before there was a felt need, or even the ability, to quantify everything, and the lack of quantification was not equated with the absence of science. The case studies of Freud and his followers are superb precursors of qualitative studies, and many of the leading psychiatrists of the first half of the 20th century, such as Dr Alec Leighton, were also trained in anthropology. In the second half of the last century, though, the quest for greater respectability in psychiatry led to abandonment of so-called softer approaches and the adoption of quantitative methods, marked by large sample sizes, more objective measures, and more reliance on statistics. Indeed, most psychiatric journals abandoned publishing case reports entirely and it was difficult to find any articles that used qualitative methods in their pages. However, the pendulum has begun to swing back and psychiatry has again started to incorporate qualitative approaches in answering questions. This change in outlook has also been mirrored within the granting agencies that support health research. When I began sitting on Medical Research Council (MRC) review panels in 1997, it was extremely difficult for any qualitative research proposals to get funded. Few, if any, of the reviewers around the table had any experience with, or sympathy for, qualitative approaches. The proposals were looked at from a quantitative orientation and, needless to say, they did not pass muster. The sample sizes were ridiculously small in comparison with the usual studies that came to the panel and the words reliability and validity were nowhere to be found in the protocols. Obviously, this was not science as the term was conceptualized by the reviewers. Within a few years, though, around the time that the MRC broadened its mandate and changed into the Canadian Institutes of Health Research, this attitude had changed dramatically. …
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,143 | 0,161 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,007 | 0,009 |
| Études des sciences et des technologies | 0,011 | 0,027 |
| Communication savante | 0,013 | 0,008 |
| Science ouverte | 0,004 | 0,015 |
| Intégrité de la recherche | 0,005 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,016 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».