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Record W2802211000 · doi:10.1177/2292550318767923

Women Plastic Surgeons of Canada: Empow <i>her</i> ment Through Education and Mentorship

2018· editorial· en· W2802211000 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePlastic Surgery · 2018
Typeeditorial
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMentorshipPlastic surgeryGlass ceilingMedical educationWork (physics)MedicinePsychologyPolitical scienceSurgeryEngineering

Abstract

fetched live from OpenAlex

Gender disparity in plastic surgery in Canada is an important issue. The Women Plastic Surgeons of Canada (WPSC) group was created to highlight the interests and concerns of female members of the Canadian Society of Plastic Surgeons (CSPS). Women Plastic Surgeons of Canada seeks to teach and implement measures to overcome the internal and external factors contributing to "the plastic ceiling." In addition, the WPSC group was created to raise awareness about the gender gap in our leadership and implement strategies to empower female surgeons to "lean in" and seek out leadership roles in plastic surgery. Education, mentorship, and networking among female CSPS members are first steps in empowering our female surgeons. All members of the CSPS are encouraged to learn about gender disparity in order to work together to address this issue.

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)0.002
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.256
Teacher spread0.236 · 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