MétaCan
Menu
Back to cohort
Record W3216721953 · doi:10.1177/21649561211043092

Beyond Professional Licensure: A Statement of Principle on Culturally-Responsive Healthcare

2021· article· en· W3216721953 on OpenAlexaff
Nadine Ijaz, Michelle Steinberg, Tami Flaherty, Tania Neubauer, Ariana Thompson‐Lastad

Bibliographic record

VenueGlobal Advances in Health and Medicine · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsCarleton University
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsLicensureHealth careCredentialingCertificationCredibilityAccountabilityPublic relationsEquity (law)NursingPsychologyPolitical scienceMedical educationMedicineLaw

Abstract

fetched live from OpenAlex

This work calls on healthcare institutions and organizations to move toward inclusive recognition and representation of healthcare practitioners whose credibility is established both inside and outside of professional licensure mechanisms. Despite professional licensure’s advantages, this credentialing mechanism has in many cases served to reinforce unjust sociocultural power relations in relation to ethnicity and race, class and gender. To foster health equity and the delivery of culturally-responsive care, it is essential that mechanisms other than licensure be recognized as legitimate pathways for community accountability, safety and quality assurance. Such mechanisms include certification with non-statutory occupational bodies, as well as community-based recognition pathways such as those engaged for Community Health Workers (including Promotores de Salud) and Indigenous healing practitioners. Implementation of this vision will require interdisciplinary dialogue and reconciliation, constructive collaboration, and shared decision making between healthcare institutions and organizations, practitioners and the communities they serve.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.030
GPT teacher head0.452
Teacher spread0.421 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations12
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueGlobal Advances in Health and MedicineSame topicCultural Competency in Health CareFrench-language works237,207