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Record W4321367791 · doi:10.1080/87567555.2023.2181307

Leveraging Kindness in Canadian Post-Secondary Education: A Conceptual Paper

2023· article· en· W4321367791 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCollege Teaching · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsSt Joseph's Health CareUniversity of British ColumbiaWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsKindnessPsychologyPedagogyMultidisciplinary approachFocus groupHigher educationIntervention (counseling)SociologySocial psychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Positive academic climates are critical to helping students thrive, and kindness innovations might enhance these climates. This conceptual paper’s purpose is to share insights from a consensus building event focused on fostering relationships and knowledge-sharing among an international group of multidisciplinary students, faculty, and staff who explored ways to bring a kindness framework into post-secondary education. Participants underscored kindness as critical for students’ experiences and university culture, and identified several levels of influence requiring intervention focus. Ideas and strategies emerging from the event might serve to encourage student-led kindness initiatives and prompt university personnel to integrate kindness into post-secondary institutions.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.309
Teacher spread0.283 · 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