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Record W2472784837 · doi:10.1057/biosoc.2016.5

How to fix a broken heart: Cardiac disease and the ‘multiverse’ of stem cell research in Canada

2016· article· en· W2472784837 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBioSocieties · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchCentre National de la Recherche ScientifiqueCentre de Recherche et d’Expertise en Gérontologie Sociale
KeywordsCertaintyAction (physics)EpistemologyCardiac cellSimultaneityStem cellEngineering ethicsLaw and economicsComputer scienceSociologyMedicinePhilosophyEngineeringBiologyPhysics

Abstract

fetched live from OpenAlex

This article focuses on Canadian stem cell researchers working on therapeutic applications of autologous stem cells for heart disease. Building on the concept of ‘multiverse’ – coined by William James and then further developed by Ernst Bloch – we are interested in the simultaneity of the certain and uncertain, sometimes contradictory arguments articulated by these scientists. In the first part of the article we illustrate some of the factors that provide certainty for researchers and clinicians. The second part analyzes the ways in which uncertain elements become integrated into a discourse of certainty. What we would like to show, using the concept of multiverse, is that a relatively new bio-technology such as stem cell treatments generally relies on both certain and uncertain reasoning. However, uncertainty has to give way to a platform of partial certainty, if crucial action is to be taken on issues as diverse as treatments and grant applications. The principle mechanisms we found that can make this kind of transformation possible target future developments (what we call ‘if only arguments’), including past encouraging results in need of further research.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.257
Teacher spread0.236 · 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