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Record W2282077391

La quantification des habitudes et du corps: Le mHealth comme technologie politique du corps

2015· article· fr· W2282077391 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

VenueCommposite · 2015
Typearticle
Languagefr
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesmHealthPolitical scienceSociologyPhilosophyHealth care
DOInot available

Abstract

fetched live from OpenAlex

Resume : Les technologies de quantification des habitudes et du corps sont percues comme des solutions efficaces et peu couteuses pour regler ce qui est qualifie de probleme d’obesite de la population. En abordant les technologies selon une ontologie de la Technique, il nous semble cependant important de remettre en question les imperatifs dont elles seraient porteuses. Issues des theories de la cybernetique, les mHealth pourraient ne pas permettre l’ empowerment des individus qui est escompte. De plus, la responsabilisation comme technique de prise de conscience de l’individu se revelerait etre une norme promue par le nouveau paradigme de sante. Nous argumentons que non seulement les technologies mobiles de sante s’inscrivent dans celui-ci, mais, egalement, representeraient et contribueraient a promouvoir des imperatifs propres a la Technique et a l’ideologie neoliberale. L’article conclut en proposant de considerer les mHealth comme des technologies politiques du corps participant a la creation de savoirs et, donc, de pouvoir sur les corps. Abstract : Technologies that quantify habits and body (commonly designated as mHealth) are seen as efficient and costless solutions to the socalled obesity problem that are facing populations around the world. Through the vision of the Technique’s ontology, it seems important to question its proper imperatives. From the point of view of cybernetic’s theories, we could consider mHealth as not as empowering as it is expected for individuals. Furthermore, responsabilisation as a selfconscious and selfmanagement technique could be seen as a norm from the new health paradigm. We argue that mobile health technologies are part of it, but, moreover, represent and contribue to promote the Technique’s and neoliberalism’s imperatives. We conclude in proposing to consider mHealth as political body technologies acting in the creation of knowledge and, so, of power on the bodies.

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.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.796
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.002

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 head0.190
GPT teacher head0.449
Teacher spread0.259 · 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