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Record W3163000733

Participating in clinical trials: masculinity, stem cells and heart disease

2014· preprint· en· W3163000733 on OpenAlexaffabout
Annette Leibing, Virginie Tournay, Julien Simard, Nicolas Noiseux

Bibliographic record

VenueSPIRE (Sciences Po) · 2014
Typepreprint
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMasculinityClinical trialDiseaseMedicineStem cellInternal medicinePsychologyBiologyPsychoanalysisGenetics
DOInot available

Abstract

fetched live from OpenAlex

One of the ways to understand the many trajectories of aging is to focus on individuals who have, for a variety of reasons, enjoyed privileged access to health care and are therefore able to envisage an aging process that would not otherwise have been possible. This article is based on interviews conducted with men aged 53 to 77, living in a major Canadian city, who suffered serious heart incidents and subsequently took part in a clinical trial program involving the use of stem cells. As a result of their participation in this program, these men have new hope for the future, are able to make concrete plans and can entertain the possibility of aging “in good health.”

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)0.011
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.008
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.460
GPT teacher head0.526
Teacher spread0.066 · 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.

Study designQualitative
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

Citations3
Published2014
Admission routes2
Has abstractyes

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