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Record W2138114197 · doi:10.1126/scitranslmed.3010496

Stem cell hype: Media portrayal of therapy translation

2015· review· en· W2138114197 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

VenueScience Translational Medicine · 2015
Typereview
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchStem Cell NetworkGenome Canada
KeywordsTimelineNewspaperStem cellPerspective (graphical)Representation (politics)Political scienceSocial mediaPublic relationsMedia studiesSociologyHistoryLawBiologyComputer sciencePolitics

Abstract

fetched live from OpenAlex

In this Perspective, we examine the portrayal of translational stem cell research in major daily newspapers in Canada, the United States, and the United Kingdom between 2010 and 2013, focusing on how timelines for stem cell therapies were represented before and after Geron terminated its pioneering stem cell program. Our content analysis reveals that press coverage has shifted from ethical, legal, and social issues to clinical translation issues, and highly optimistic timelines were provided with no substantial change in representation over time. Scientists were the dominant voice with respect to translation timelines. The findings raise questions about the degree to which the media's overly optimistic slant fosters unrealistic expectations regarding the speed of clinical translation and highlight the ethical responsibility of stem cell researchers as public communicators.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.006
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.247
GPT teacher head0.423
Teacher spread0.177 · 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