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Record W4385536697 · doi:10.1515/9780773569355

Negotiating Disease

2001· book· en· W4385536697 on OpenAlexaboutno aff
Barbara Clow

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2001
Typebook
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Her detailed analysis of popular beliefs and behaviours reveals the compelling logic of personal decisions about health and healing. Experience and expectation, not fear and ignorance, shaped the health care choices of both cancer sufferers and the "healthy" public. A close examination of three unconventional practitioners in Ontario demonstrates the importance and vitality of alternative medicine. By presenting treatment options that were congenial and plausible to cancer sufferers, these healers contested the authority of conventional medicine. An investigation of government cancer care policy, particularly the activities of Ontario's Commission for the Investigation of Cancer Remedies, exposes the difficulties of defining legitimate health care and the limits of state support for the medical profession. This is, ultimately, a book about who held power in medical encounters in the past. With masterful assurance and a highly readable style, Clow portrays the disputes between sufferers and healers, practitioners and politicians, and legislators and laity that coloured perceptions of medical authority and constrained the power of the profession.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.014
Scholarly communication0.0060.006
Open science0.0010.006
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0240.005

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 head0.032
GPT teacher head0.295
Teacher spread0.263 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2001
Admission routes1
Has abstractyes

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