MétaCan
Menu
Back to cohort

The Origins and Design of the Dental Pipeline Program

2005· article· en· W2167408418 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

VenueJournal of Dental Education · 2005
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsCommunity Based Research Centre
Fundersnot available
KeywordsUnderrepresented MinorityEndowmentDental educationMedical educationPipeline (software)MedicineFamily medicinePolitical scienceEngineering

Abstract

fetched live from OpenAlex

Funded by The Robert Wood Johnson Foundation and the California Endowment and with student financial aid from the W.K. Kellogg Foundation, the primary goal of the Pipeline, Profession, and Practice: Community-Based Dental Education program is to reduce disparities in access to dental care. In a national competition, fifteen dental schools were selected to participate. By the final year (2007) of the five-year project, the schools are expected to achieve three objectives: 1) increase the time (sixty days/year) that senior students and residents spend in patient-centered community clinics and practices treating underserved populations; 2) provide didactic and clinical courses for students and residents that prepare them for their community experiences; and 3) recruit more underrepresented minority and low-income students. The national program office that directs the project is located at Columbia University, and a national advisory committee oversees the program for the sponsoring organizations. The challenge is to demonstrate that the Pipeline objectives are achievable and that the program is sustainable without external support.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.459
Teacher spread0.423 · 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