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Record W2126959876 · doi:10.1177/1744987108093529

On the constitution and status of ‘evidence’ in the health sciences

2008· article· en· W2126959876 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of research in nursing · 2008
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsUniversity of OttawaToronto Metropolitan University
Fundersnot available
KeywordsMisrepresentationPoliticsConstitutionSociologyPower (physics)DutyEpistemologyScientific evidenceNeutralityLawDominance (genetics)Law and economicsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract Drawing on the philosophy of Michel Foucault and Gilles Deleuze, this paper interrogates the constitution of ‘evidence’ that defines the evidence-based movement in the health sciences. What are the current social and political conditions under which scientific knowledge appears to be ‘true’? Foucault describes these conditions as state ‘science’, a regime that privileges economic modes of governance and efficiency. Today, the Cochrane taxonomy and research database is increasingly endorsed by government and public health policy makers. Although this ‘evidence-based’ paradigm ostensibly promotes the noble ideal of ‘true knowledge’ free from political bias, in reality, this apparent neutrality is dangerous because it masks the methods by which power silently operates to inscribe rigid norms and to ensure political dominance. Through the practice of critique, this paper begins to expose and to politicise the workings of this power, ultimately suggesting that scholars are in a privileged position to oppose such regimes and foremost have the duty to politicise what hides behind the distortion and misrepresentation of ‘evidence’.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
gptScience and technology studies
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.054
metaresearch head score (Gemma)0.051
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0540.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.927
GPT teacher head0.752
Teacher spread0.175 · 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