MétaCan
Menu
Back to cohort
Record W2136914111 · doi:10.1186/1447-056x-9-1

Making the 2007-2010 Action Plan work for women in family medicine in the Asia Pacific

2010· article· en· W2136914111 on OpenAlexaffabout
Jan Coles, Amanda S. Barnard, Amanda Howe, Jo Wainer, Zorayda Leopando, Sarah Strasser

Bibliographic record

VenueAsia Pacific Family Medicine · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsNOSM University
Fundersnot available
KeywordsAction planAsia pacificMedicineWork (physics)Action (physics)Transparency (behavior)Equity (law)Gender equityPlan (archaeology)Family medicinePublic relationsPolitical scienceManagementSociologyGender studiesLawEngineering

Abstract

fetched live from OpenAlex

The Wonca Working Party for Women and Family Medicine (WWPWFM) was organized in 2001 with the following objectives: to identify the key issues for women doctors; to review Wonca policies and procedures for equity and transparency; to provide opportunities to network at meetings and through the group's listserve and website; and to promote women doctors' participation in Wonca initiatives.In October 2008, at the Asia Pacific Regional conference, the Wonca Working Party on Women in Family Medicine (WWPWFM) held a preconference day and conference workshops, building on the success and commitment to initiatives which enhance women's participation in Wonca developed in Ontario, Canada (2006) and at the Singapore World Congress (2007). At this meeting fifty women workshopped issues for women in Family Medicine in the Asia Pacific. Using the Action Plan formulated in Singapore (2007) the participants identified key regional issues and worked towards a solution.Key issues identified were professional issues, training in family medicine and women's health. Solutions were to extend the understanding of women's contributions to family medicine, improved career pathways for women in family medicine and improving women's participation in practices, family medicine organizations and academic meetings.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
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 head0.156
GPT teacher head0.436
Teacher spread0.280 · 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
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

Citations2
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueAsia Pacific Family MedicineSame topicPrimary Care and Health OutcomesFrench-language works237,207