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Record W7132961443

Putting participation into perspective: The experiences of participants and their family members involved in a novel gene transfer trial

2008· dissertation· W7132961443 on OpenAlexfundno aff
Pamela Ann Kolopack

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsGrounded theoryQualitative researchData collectionFocus groupClinical trial
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this qualitative study was to understand from the perspectives of participants and their family members their experiences related to involvement in the NORTHERN Trial, a novel gene transfer trial for people with severe heart disease who were no longer eligible for conventional treatments. Ten people participated in this study: 8 were participants in the NORTHERN Trial; 2 were family members of these participants. Telephone interviews were conducted with each of these individuals. Interviews were audio-taped, transcribed verbatim and then analyzed using a grounded theory approach. The resulting theory describes how, through a process of putting participation into perspective, these individuals initiated and sustained their commitment to participate in the NORTHERN Trial. In particular the findings draw attention to how people continually formulated assessments of the risks and benefits throughout their engagement in the trial and the considerations that they took into account to formulate these assessments.

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)0.027
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.045
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0180.019
Scholarly communication0.0070.008
Open science0.0030.009
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0030.001

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 head0.452
GPT teacher head0.577
Teacher spread0.124 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2008
Admission routes1
Has abstractyes

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