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Record W3194097300 · doi:10.1111/pde.14756

Diversity in pediatric dermatology: A report from the Pediatric Dermatology Research Alliance and a call to action

2021· article· en· W3194097300 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePediatric Dermatology · 2021
Typearticle
Languageen
FieldMedicine
TopicMedicine and Dermatology Studies History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineCall to actionAllianceWorkforceDiversity (politics)Action planInclusion (mineral)Atopic dermatitisFamily medicineMedical educationDermatologyPolitical scienceManagementPsychology

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVES: The Pediatric Dermatology Research Alliance (PeDRA) connects pediatric dermatologists, trainees, basic scientists, allied health professionals, and patient advocates to improve the lives of children with skin disease through research. As a training pipeline for future pediatric dermatologists and steward of research in the field, PeDRA has a responsibility to examine its history and take actionable steps to diversify its membership, grant recipients, study leads, research priorities, and leadership. METHODS: In 2020, PeDRA formed an Equity, Diversity, and Inclusion Task Force to address this need. In an effort to assess PeDRA's past and plan for PeDRA's future, a review of PeDRA's membership, leadership, grant awardees, and research topics was conducted. RESULTS/CONCLUSIONS: Results demonstrated gaps in PeDRA's current operational efforts to diversify the pediatric dermatology workforce and identified areas for improvement. Recommendations are proposed as a call to action for the community.

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.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.002
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 head0.088
GPT teacher head0.358
Teacher spread0.271 · 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