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Record W2003710812 · doi:10.1017/s0025727300007389

Professionalism and the Boundaries of Control: Pharmacists, Physicians and Dangerous Substances in Canada, 1840–1908

2004· article· en· W2003710812 on OpenAlexaffabout
Daniel Malleck

Bibliographic record

VenueMedical History · 2004
Typearticle
Languageen
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsCompetitor analysisConsolidation (business)Health careIdentity (music)Control (management)LivelihoodMedicinePower (physics)Function (biology)NursingPublic relationsBusinessPolitical scienceLawManagementHistoryMarketingAesthetics

Abstract

fetched live from OpenAlex

In the drive for the consolidation of professional authority, physicians in the nineteenth century sought to exert control over all associated occupations, and weaken the influence of competitors. Many historians have chronicled this process, as doctors and their associations sought to proscribe or eliminate competitors such as homeopaths, eclectics, chiropractors and Thomsonians. Others have explored how physicians sought to subjugate allied occupations such as nursing, radiation technology and physical therapy. Such studies consider power struggles in two contexts. First, doctors could and wanted to function without the interference of others in the health industry. Second, doctors sought to enforce a power structure that placed them at the top with all the other health care occupations beneath them, dependent upon the activities of the physicians to maintain their livelihoods. In both contexts, external factors and internal exigencies shaped the future identity of all occupational groups.

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)0.002
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.973
Threshold uncertainty score0.950

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0270.022
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.246
Teacher spread0.225 · 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

Citations11
Published2004
Admission routes2
Has abstractyes

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