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Record W4414685828 · doi:10.47408/jldhe.vi37.1707

Quiet spaces, collective voices: creative pedagogies for reflection and renewal

2025· article· en· W4414685828 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 Learning Development in Higher Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsUniversity of Calgary
FundersUniversity of BrightonUniversity of LeedsUniversity of Southampton
KeywordsHonourSpace (punctuation)Reflection (computer programming)NarrativeSession (web analytics)Value (mathematics)Autoethnography

Abstract

fetched live from OpenAlex

Educational institutions, and institutions more broadly, often overlook the value of our collective narratives and the stories of those who shaped them. This session offered an active yet meditative space for attendees to engage in and reflect on creative and liberatory practices that have been shared across our community, and in doing so to implicitly honour some of the individuals and collectives who have made contributions to education, society and our community, whether big or small. The LD community has created a pedagogy of practice that can get lost in the ‘chatter’ and clutter of everyday working lives. We revisited some practices that have been surfaced, shared and celebrated by ALDinHE. Framed as five focused activities that LDs can draw upon for their own teaching practice, this workshop session aimed to provide a meaningful space for reflection and remembrance. By sharing techniques for noticing, poetry, drawing, collaborative writing, and concluding with a short, guided meditation, we offered a space for replenishment and hope.

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)0.001
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 score0.702
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.059
GPT teacher head0.408
Teacher spread0.349 · 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