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Record W2042120337 · doi:10.7202/800443ar

Les miasmes, les microbes et les médecines. La diffusion des idées anciennes et nouvelles dans l’Union médicale du Canada : le cas de la fièvre typhoïde (1872-1900)

2009· article· fr· W2042120337 on OpenAlexvenueaboutno aff
John Macfarlane

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2009
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les dernières décennies du 19e siècle sont connues comme une période de transition importante dans le monde médicale. Les nouvelles découvertes ont révolutionné la façon de voir et de combattre les maladies. Les microbes, pas les miasmes, furent la cause des maladies, qui furent contrôlé plus avec les mesures sanitaires pour la prévention, que par les traitements miraculeuses. En dépouillant les articles sur la fièvre typhoïde dans la revue l’Union médicale du Canada entre 1872 et 1900 on constate que les médecins acceptaient rapidement quelques innovations importantes. Par contre, en ce qui concerne les innovations où leurs anciennes affirmations furent mises en doute, ou leur popularité auprès de la population mis en péril, certains médecins démontraient une hésitation d’accepter ces avances. Cette étude présente la coexistence des idées nouvelles avec des idées plus anciennes, qui continuaient à être diffusé, parfois des années après des découvertes importantes. Nous verrons comment ils furent finalement gagné aux idées nouvelles.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.434

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.021
Scholarly communication0.0080.002
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.010
GPT teacher head0.208
Teacher spread0.198 · 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.

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

Citations0
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueScientia Canadensis Canadian Journal of the History of Science Technology and MedicineSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207