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Record W4402109732 · doi:10.55016/ojs/jet.v51i3.68275

Prioritizing Experiential Learning and Self-Reflection in the Development of Multicultural Responsiveness

2019· article· en· W4402109732 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.

Bibliographic record

VenueJournal of educational thought. · 2019
Typearticle
Languageen
FieldComputer Science
TopicEducational Challenges and Innovations
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsExperiential learningReflection (computer programming)MulticulturalismPsychologyPedagogyComputer science

Abstract

fetched live from OpenAlex

This phenomenological study investigated the experiences of counselling psychology graduate students who completed the self-reflective field activity in the context of a practicum course. For this course assignment, students chose a minority cultural group that they were unfamiliar with (e.g., a specific ethnic or religious group). They were then asked to a) identify their assumptions about this group (pre-reflections)b) attend a community event hosted by the chosen group, and c) reflect on how their perspectives changed over time (post-reflections). Participants completed an in-depth qualitative interview about their learning and engagement regarding the self-reflective field activity. An inductive content analysis methodology was used to analyze participants’ pre- and post- reflection logs as well as transcribed qualitative interviews. Results yielded three overarching categories, depicting participants’ experiences prior to, during, and after the assignment. Implications for cultural competence training are discussed, including the benefits of experiential learning as well as the need for self-reflection inside and outside of the classroom.

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)0.001
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 score0.803
Threshold uncertainty score0.158

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.031
GPT teacher head0.346
Teacher spread0.315 · 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