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Record W1992462959 · doi:10.3109/13561820.2013.869196

An examination of the historical context of interprofessional collaboration in Dutch obstetrical care

2013· review· en· W1992462959 on OpenAlexaff
Nadine van der Lee, Erik W. Driessen, Eddy Houwaart, Nicolette Caccia, Fedde Scheele

Bibliographic record

VenueJournal of Interprofessional Care · 2013
Typereview
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsContext (archaeology)Maternity careProfessional boundariesInterprofessional educationHealth careCollaborative CareMedical educationMedicinePublic relationsNursingSociologyPolitical scienceHistoryLaw

Abstract

fetched live from OpenAlex

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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.051
GPT teacher head0.475
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

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

Citations27
Published2013
Admission routes1
Has abstractyes

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