An examination of the historical context of interprofessional collaboration in Dutch obstetrical care
Bibliographic record
Abstract
Collaboration between different groups of health care professionals is often rooted in a long and often difficult history. This history can exert a strong influence on how professionals collaborate and historical tensions can contribute to problems in contemporary practice. However, literature about interprofessional collaboration often ignores the historical underpinnings of collaboration. In this paper, the historical development of interprofessional collaboration between obstetricians and midwives within the setting of Dutch obstetrical care is explored using a review of Dutch and English literature for documents explicitly or implicitly describing the historical development of this collaboration. This literature delineates the establishment of professional boundaries and the formalization of the collaboration between the two professions. It also details the history of physician domination over the midwives both in midwifery practice and education and the relatively recent reversal of this situation. Moreover, the shift in collaborative partner from general practitioner to obstetrician and its effect on collaboration is examined. Insight into the historical foundations of Dutch maternity care collaboration may allow us to understand the origins, and thus formulate possible solutions, for contemporary problems within this collaboration.
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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.013 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".