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Record W3201810944 · doi:10.59236/td2021vol14iss21585

Navigating the Chaos: The Value of SoTL During Times of Uncertainty

2021· article· en· W3201810944 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

VenueTransformative Dialogues Teaching and Learning Journal · 2021
Typearticle
Languageen
FieldComputer Science
TopicSemantic Web and Ontologies
Canadian institutionsYork UniversityUniversity of British Columbia
Fundersnot available
KeywordsCHAOS (operating system)Value (mathematics)MathematicsStatisticsComputer scienceComputer security

Abstract

fetched live from OpenAlex

The value of Scholarship of Teaching and Learning (SoTL) frequently is overlooked or misunderstood within higher education institutions. COVID-19’s disruption of higher education has highlighted the importance of embracing roles of teacher and learner, flexibility, and a focus on systematically studying teaching and learning embrace as strategies to navigate this chaos. Based on our multidisciplinary, multi-positional, and multi-national perspectives, we make connections between the skills learned through SoTL scholarship and their applicability in times of chaos. Our intent is to highlight the skills and approaches acquired through SoTL engagement and by doing so, emphasize the valuable contributions of SoTL scholars within higher 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.014
GPT teacher head0.264
Teacher spread0.250 · 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