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Record W2621788866 · doi:10.1177/1556264617713098

The Meanings of Helping: An Analysis of Cystic Fibrosis Patients’ Reasons for Participating in Biomedical Research

2017· article· en· W2621788866 on OpenAlexafffund
Emily Christofides, Karla Stroud, D. Elizabeth Tullis, Kieran C. O’Doherty

Bibliographic record

VenueJournal of Empirical Research on Human Research Ethics · 2017
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsSt. Michael's HospitalUniversity of Guelph
FundersCanadian Institutes of Health Research
KeywordsFeelingHelping behaviorPsychologyResearch ethicsField (mathematics)MedicineSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Research participants often report wanting to help as a reason for participation, but who they want to help and why is rarely explored. We examined meanings associated with helping among 21 adults with cystic fibrosis (CF)-a group with high participation in research. Meanings included helping to advance research, helping others with CF, helping as their job, helping themselves, helping because they are special, and helping to give back. While some meanings were primarily oriented toward helping others, some also involved hoping for benefits for oneself, and some included feelings of responsibility. Despite indicating that they understood that research is not designed to help them directly, participants nevertheless hoped that it might. We discuss implications for research ethics oversight.

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 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)0.492
metaresearch head score (Gemma)0.828
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.4920.828
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0140.011
Scholarly communication0.0000.001
Open science0.0050.002
Research integrity0.0010.054
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 head0.865
GPT teacher head0.773
Teacher spread0.092 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2017
Admission routes2
Has abstractyes

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