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Record W4404392117 · doi:10.52964/amja.0985

Research in Acute Medicine. The results of a national survey of Society for Acute Medicine members.

2024· article· en· W4404392117 on OpenAlexaff
Suzy Gallier, James Hodson, Kum Loon Kwok, Lily Li, Charlotte G. Morgan, Benjamin C. Lewis, Christian P Subbe, Ekta Punj, Catherine Atkin, Elizabeth Sapey

Bibliographic record

VenuePubMed · 2024
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsTrinity College
Fundersnot available
KeywordsAcute medicineMedicineFamily medicineIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Medical research improves patient outcomes, patient satisfaction, staff morale and retention. It is unclear what research opportunities and training staff in acute medicine had. METHODS: The Society for Acute Medicine supported a survey to assess current research activity, training and perceived opportunities and barriers. RESULTS: 292 responses were received from diverse professional backgrounds. Few respondents had formal research qualifications or were undertaking research, but the majority valued research and wanted more research experience including formal training. Barriers included time constraints and perception that research in acute medicine was less valued by healthcare organisations. Preferred mechanisms to increase research included mentorship, advocacy, and increased opportunities. CONCLUSIONS: Strategies to increase research in acute medicine should consider these results in forward planning.

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)0.016
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.043
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.470
GPT teacher head0.543
Teacher spread0.074 · 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.

Study designObservational
DomainEvaluation
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
Published2024
Admission routes1
Has abstractyes

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