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Record W2025674441 · doi:10.1111/1467-9566.00240

The limitations of a negotiation model for perimenopausal women

2001· article· en· W2025674441 on OpenAlexaff
Raymond Massé, France Légaré, Luc Côté, Sylvie Dodin

Bibliographic record

VenueSociology of Health & Illness · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsNegotiationExplanatory modelExplanatory powerCredibilityTransactional leadershipTransactional analysisPsychologySocial psychologyMedicineSociologyPolitical scienceEpistemology

Abstract

fetched live from OpenAlex

The clinical negotiation model proposed by Katon and Kleinman (1981) puts culture at the very heart of the patient‐doctor relationship. As opposed to the asymmetric model that stresses an unequal power relationship between a dominant physician and a powerless patient, this transactional model suggests that we view the clinical encounter as the locus of a negotiation that takes place between two kinds of knowledge (lay and professional), and between two agendas: the doctor’s and the patient’s. According to such a model, the doctor is taught to listen to the patient’s own explanatory model of disease. Using an in‐depth analysis of clinical encounters between perimenopausal women and female physicians, and of separate interviews with individual doctors and patients concerning their respective explanatory models, this pilot study puts emphasis on both the limitations of a transactional model and on the strategies deployed by doctors for enhancing the credibility of hormonal replacement therapy.

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 imitation

Not 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.

metaresearch head score (Codex)0.041
metaresearch head score (Gemma)0.081
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.218

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.081
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0050.019
Scholarly communication0.0120.028
Open science0.0060.007
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0090.002

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 head0.160
GPT teacher head0.357
Teacher spread0.197 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations35
Published2001
Admission routes1
Has abstractyes

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