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Record W2997948353 · doi:10.25071/1916-4467.40441

Math-a-POLKA: Mathematics as a Place of Loving Kindness and . . .

2019· article· en· W2997948353 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsUniversity of ReginaUniversity of Alberta
Fundersnot available
KeywordsKindnessFlourishingConversationEmpathyPsychological resilienceCurriculumAestheticsSociologyPsychologyPedagogyEpistemologyMathematics educationSocial psychologyCommunicationPhilosophyTheology

Abstract

fetched live from OpenAlex

In proposing this special issue, we sought to open a generative and healing conversation in the intersectionality of love, kindness, mathematics, curriculum and education, offering a call that invited the completion of the sentence, "I imagine/want mathematics to be a place of loving kindness and . . . " In their responses, contributors have highlighted the importance of communication in establishing loving kindness through patterns of caring responsiveness, acts of imagination and empathy, and conversations that matter. They envision a place of learning that values aesthetic and affective engagement in mathematical and pedagogical practices that promote capability and resilience among students. As guest editors, we each offer our responses to the prompt, exploring “kind-ness” as belonging and challenging readers to expand that further to the “kin’d-ness” of communal relations of multi-species flourishing, thus reimagining mathematics.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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 head0.025
GPT teacher head0.286
Teacher spread0.260 · 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