Transdisciplinary collaboration: The future of primary health care
Bibliographic record
Abstract
Primary care is the patient's first point of entry into the health care system, offering health care closest to where individuals live and work.Primary health care (PHC) encompasses primary care, disease prevention, health promotion, population health, and community development within a holistic framework, with the aim of providing essential community-focused health care.1,2 Providing care within this framework results in a high level of complexity.Many challenges arise when delivering personalized, highquality care to a diverse and complex PHC population.In response to this complexity, transdisciplinary collaboration of different health professionals within clinical practice and in research is the solution. Challenges of Primary Health Care and ResearchPHC is a multidimensional concept derived from the social model of health.PHC should address the main health problem of the communities and reflect the socioeconomic, sociocultural, and political characteristics of the country it is in.3 Using this definition, providing care to one individual means not only looking at the disease of the patient, but at all elements of their life and environment.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.038 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.011 | 0.011 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".