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Record W2282887510 · doi:10.1177/1532708615611703

Reflections on Biopedagogies and/of Public Health

2015· article· en· W2282887510 on OpenAlexafffund
Geneviève Rail, Shannon Jetté

Bibliographic record

VenueCulture Studies &#x2194 Critical Methodologies · 2015
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsConcordia University
FundersHospital for Sick Children
KeywordsPublic healthInterrogationPublic relationsSociologyPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

In this article, we offer an introduction to the special issue of Cultural Studies↔Critical Methodologies. First, we present some of our own reflections and, second, we provide an overview of the articles assembled here to advance the critical interrogation of biopedagogies and/of public health. Our own reflections focus attention on biocitizens and the ill-fated “rescue missions” to save bio-Others. In brief, we argue that (a) within neoliberal societies, an assemblage of private and public institutions and organizations circulate the “health imperative”; (b) this imperative leads to the creation of the fit and productive biocitizen through various market solutions; (c) this imperative leads to biomorality and the construction of the unfit, unwell, and unproductive bio-Other; (d) public health invests in rescue missions to “save” this bio-Other; and (e) public health initiatives are instrumentalized within corporate schemes to expand markets in the name of health. We then conclude our piece with thoughts on the place of cultural studies and critical methodologies in the larger project of health and social justice, while presenting an overview of the articles selected for this special issue in connection to three themes: biopedagogies and spaces, identifications, and affects/effects.

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)0.039
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.052
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0130.067
Scholarly communication0.0150.017
Open science0.0030.010
Research integrity0.0100.026
Insufficient payload (model declined to judge)0.0050.001

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 head0.823
GPT teacher head0.621
Teacher spread0.202 · 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 designTheoretical or conceptual
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

Citations39
Published2015
Admission routes2
Has abstractyes

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