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Record W4291016631 · doi:10.3390/educsci12080543

Can I Keep My Religious Identity and Be a Professional? Evaluating the Presence of Religious Literacy in Education, Nursing, and Social Work Professional Programs across Canada

2022· article· en· W4291016631 on OpenAlexaffabout
Margaretta Patrick, W. Y. Alice Chan

Bibliographic record

VenueEducation Sciences · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsThe King's University
Fundersnot available
KeywordsLiteracySociologyPedagogyReligious educationInformation literacyCommissionContext (archaeology)Public relationsPolitical scienceLaw

Abstract

fetched live from OpenAlex

In much of the world, education, nursing, and social work are human-centred professions that aim to engage with individuals holistically. Yet, how much of their training prepares them for this manifold reality? In this article, we provide an overview of three Canadian societal contexts, examine the literature on religious literacy in higher education and in the Canadian context, and study the professional programs of education, nursing, and social work offered in the top-ranked universities in the three largest English-speaking provinces in Canada. We describe the incorporation of the Calls to Action issued by the Truth and Reconciliation Commission of Canada and the limited evidence of religious literacy evident in the online information provided about the chosen programs and then argue that religious literacy is a necessary component of the university preparation programs for those entering these human-centred professions. Student requests for religious literacy workshops provided by the Centre for Civic Religious Literacy (CCRL), a non-religious and non-profit organization that works with partners in communities across Canada, demonstrate a demand for such education.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0050.001
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 head0.043
GPT teacher head0.445
Teacher spread0.401 · 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.

Study designQualitative
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

Citations5
Published2022
Admission routes2
Has abstractyes

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