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Record W3007744247 · doi:10.1093/heapro/daaa004

The medicalization of cancer as socially constructed and culturally negotiated

2020· article· en· W3007744247 on OpenAlexaff
Christopher J. Fries

Bibliographic record

VenueHealth Promotion International · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicalizationPerspective (graphical)SociologySubject (documents)Social constructionismMedicineSocial sciencePsychiatry

Abstract

fetched live from OpenAlex

Sociological considerations of medicalization frequently employ a limited use of the term that focuses on the transformation of social phenomena into issues subject to medical control. Informed by a salutogenic perspective, this essay argues that it is possible to understand cancer as having been medicalized. I show that far from exclusively a biophysical issue, the medicalization of cancer is a socially constructed and culturally negotiated process, with a fairly recent historical origin. While changing social relations of healing have led our medico-centric culture to a near single-minded understanding of cancer as a cellular pathology rooted in biology, Antonovsky's salutogenic perspective instructs that it is possible to understand and control cancer in non-medicalized ways. Indoor radon gas remediation is presented as an illustration of what form salutary cancer control and disease prevention may take.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.644
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.070
GPT teacher head0.494
Teacher spread0.424 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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