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Record W3215821886 · doi:10.3399/bjgp21x717881

How the RCGP Research Paper of the Year 2020 reflects our motto <i>‘Cum Scientia Caritas’</i>

2021· article· en· W3215821886 on OpenAlexaff
Toto Gronlund, Nada Khan, Carolyn Chew‐Graham

Bibliographic record

VenueBritish Journal of General Practice · 2021
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsCanadian Journal of Communication (Canada)
FundersRoyal College of General Practitioners
KeywordsEthosCompassionPresentation (obstetrics)MedicineReputationOriginalityPrimary careGeneral practiceMedical educationFamily medicineSociologyQualitative researchLawPolitical scienceSocial science

Abstract

fetched live from OpenAlex

The Research Paper of the Year (RPY), awarded by the Royal College of General Practitioners (RCGP), gives recognition to an individual or group of researchers who have undertaken and published an exceptional piece of research relating to general practice or primary care. The three categories are Clinical Research, Health Services Research (including Implementation and Public Health), and Medical Education related to Primary Care. Papers are scored on the criteria of originality, impact, contribution to the reputation of general practice, scientific approach, and presentation. This year, we invited submissions reporting COVID-19 research to each category. The RCGP’s motto Cum Scientia Caritas means ‘scientific knowledge applied with compassion’. We feel the winning papers for RPY 2020 really reflect this ethos. The overall winner of the RPY 2021 award, from 53 submissions, came from Sohal and colleagues from London and Bristol: ‘Improving the healthcare response to domestic violence and abuse in UK primary care: interrupted time series evaluation of a system-level training and support programme’ …

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)0.008
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.675
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.003
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 head0.115
GPT teacher head0.484
Teacher spread0.369 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2021
Admission routes1
Has abstractyes

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