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Record W1487954414 · doi:10.1007/s11724-009-0141-8

Portrait de la douleur chronique au Canada: les femmes souffrent-elles plus que les hommes ?

2009· article· fr· W1487954414 on OpenAlexaffabout
Juliana Barcellos de Souza, Alain Vanasse, A. Cissé, Shabnam Asghari, Dominique Dion, Manon Choinière, Serge Marchand

Bibliographic record

VenueDouleur et Analgésie · 2009
Typearticle
Languagefr
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La douleur chronique est reconnue pour être un important problème de santé publique, malgré que son épidémiologie demeure limitée. La présente étude s’intéresse aux différences entre les hommes et les femmes dans la prévalence de la douleur chronique au Canada et à la perception de la santé qu’ont les personnes atteintes. Pour ce faire, nous avons utilisé les données publiques de l’Enquête sur la Santé des Communautés Canadiennes (ESCC) — cycle 3.1 (2006). Parmi 132 221 répondants, 40 % ont rapporté de la douleur chronique (arthrite ou rhumatisme, lombalgie chronique, fibromyalgie, migraine, syndrome du côlon irritable). Les maladies associées à de la douleur chronique sont prédominantes chez les femmes et les personnes agées. Parmi les personnes atteintes de douleur chronique, les femmes perçoivent leur santé comme étant meilleure en comparaison aux évaluations des hommes. La douleur chronique est un problème majeur dans la communauté canadienne et les femmes âgées sont davantage atteintes.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2009
Admission routes2
Has abstractyes

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