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Record W4411957518 · doi:10.59236/td2013vol6iss31321

Affective Teaching

2013· article· en· W4411957518 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTransformative Dialogues Teaching and Learning Journal · 2013
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Canadian universities are increasingly called upon to internationalize their curriculum; we argue, however, that internationalization of the curriculum needs to be supplemented by place-based teaching.Place-based studies focus on layers of meaning found right beneath our feet and explore how localized understanding can enrich experiences.Thus eight faculty from diverse disciplines at our university formed a community of practice to investigate how our disciplines address place and how we embrace (or fail to embrace) place within our teaching.This essay presents the results of our investigations while preserving our individual voices to highlight the multivocality of place, itself.Our disciplines take widely divergent approaches to both the concept and specifics of place; however, we recognized in each of our disciplines a widespread neglect of place.We found that our engagement with place in our teaching manifests in varied ways-embracing the concrete and the abstract, the theoretical and the experiential.However, the common thread running through all of our teaching is that place matters because it encourages new ways of questioning and being in the world.

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, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.315
Teacher spread0.287 · 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