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Record W2992628865 · doi:10.1080/14681366.2019.1700299

Youth reassembling difficult topics through humour as boundary play

2019· article· en· W2992628865 on OpenAlex
Mairi McDermott, Kimberly Lenters

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.

Bibliographic record

VenuePedagogy Culture and Society · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEmbodied cognitionAssemblage (archaeology)LiteracyAestheticsSociologyCritical literacyAffect (linguistics)Boundary (topology)Critical pedagogyPedagogyVisual artsPsychologyEpistemologyArtHistoryCommunicationPhilosophy

Abstract

fetched live from OpenAlex

Humour, when engaged in the classroom, tends to be used as a means to hook youth into the ‘real’ material of school, when officially sanctioned at all. Humour can be dangerous, not-the-least in its potential to produce chaos, presenting difficulties in the rigid climate of accountability and standardisation. As we animate, humour can trouble sedimented boundaries of the ‘acceptable’ as youth participate in sense-making of their worlds. As we argue, this boundary play is crucial to critical literacy dispositions. This paper considers the ways in which students navigated the boundaries of Martin Luther King (MLK) and the hijab in two research projects through assemblage as a methodological experiment. Our purpose is to map the embodied entanglements of humour as a pedagogy of affect for critical literacy in diverse urban classrooms. We suggest that humour can re-contour affective terrains of literacy encounters and, thereby, the embodied possibilities for urban youth, opening spaces in the classroom for alternative senses of belonging and attachment.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.456
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.030
GPT teacher head0.294
Teacher spread0.264 · 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