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Record W2460727302

The role of lay panelists on grant review panels.

2004· article· en· W2460727302 on OpenAlexaffabout
Anne Monahan, Donna E. Stewart

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineInclusion (mineral)Family medicineAlternative medicineGrant fundingMedical educationLibrary scienceGerontologyPsychologySocial psychologyPathology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate the attitudes of scientists and lay people participating in National Cancer Institute of Canada (NCIC) grant review panels towards the inclusion of non-scientists in the review process. Questionnaires were sent to the 126 scientists and 24 lay panelists who participated in NCIC's grant reviews in 1998. Survey topics included lay member selection, the role of the lay panelist and suggestions for improving the process. Data were analyzed qualitatively, and quantitatively using SPSS. Sixty-one of the 126 scientists (48.4%) and 16 of the 24 lay panelists (66.7%) completed the survey. Female scientists were significantly more supportive than male scientists of the selection of cancer patients/survivors/advocates as lay members (p = 0.01), but overall their responses were more similar to those of their male colleagues than of the lay respondents. There were significant differences between the lay and scientist respondents on lay member responsibilities (p = 0.01), the format of lay grant review (p = 0.04), lay member contribution to panel discussion (p = 0.01), and understanding of the lay role (p = 0.02).

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)0.002
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.029
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 head0.132
GPT teacher head0.373
Teacher spread0.241 · 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 teacher head, not a consensus.

Study designOther design
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

Citations12
Published2004
Admission routes2
Has abstractyes

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