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Record W1982087319 · doi:10.12968/bjom.2002.10.12.751

A problem-based learning approach to midwifery

2002· article· en· W1982087319 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBritish Journal of Midwifery · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCurriculumProblem-based learningContext (archaeology)Medical educationAutodidacticismObstetricsMedicinePsychologyMathematics educationPedagogy

Abstract

fetched live from OpenAlex

In 1993, McMaster University implemented the first midwifery education programme in Ontario, Canada. A 4–year, direct-entry baccalaureate programme was established and reflects the philosophy of midwifery with a focus on normal, healthy childbearing. Self-directed and problem-based learning (PBL) are integral parts of the programme. The authors selected a PBL format because of the benefits demonstrated in medical education. The use of PBL, as a method of instruction, has been found to enhance clinical reasoning skills, knowledge acquisition and self-directed learning patterns (Woods, 1994). A PBL curricula also provides students with an earlier opportunity to acquire information in context (Woodward, 1989). Students from a traditional curricula, compared with students from a PBL curricula, have been found to be less able to use what they have learned (Gonella et al, 1970). The development and implementation of a PBL midwifery curricula are described in this paper. Graduates of the programme reported that they enjoyed the small group tutorials and found it to be one of the most effective aspects of learning in the programme, second only to clinical placements.

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)0.003
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.864
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.262
Teacher spread0.231 · 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