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Record W4402364204 · doi:10.1016/j.ecns.2024.101603

Effectiveness of interprofessional development of foundational lactation open education resources

2024· article· en· W4402364204 on OpenAlex
Suzanne Campbell, Nicole de Oliveira Bernardes, Thayanthini Tharmaratnam, Melanie Willson, Claudia Krebs, Marianne Brophy, George Oliveira Silva

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

VenueClinical Simulation in Nursing · 2024
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsLactationPedagogyMedical educationPsychologyMedicineBiology

Abstract

fetched live from OpenAlex

The purpose of this manuscript is to share the interprofessional development of foundational lactation open education resources (OERs) for prebriefing prior to simulation. A team of health faculty, students, and practitioners developed five lactation modules with an Equity Diversity Inclusion (EDI) framework representing diverse families. Participants (n=1453) answered a survey at the end of the OER modules including a variety of healthcare professional faculty, students, practitioners, and parents. The process of development, effectiveness, and usability of these modules were used for prebriefing prior to teaching/learning opportunities. The findings from use of the five OERs provide descriptive data on the usefulness for interprofessional education and professional development. The creation of five OER lactation modules provide an equity and inclusion lens to model consistent approaches to support the needs of diverse families allowing interprofessional students to develop shared mental models and psychological safety prior to clinical experiences.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.186

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.078
GPT teacher head0.537
Teacher spread0.459 · 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