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Record W4288074485 · doi:10.33540/1376

Reconfiguring a history of art and design curriculum in a South African university of technology

2022· dissertation· en· W4288074485 on OpenAlexaff
Nike Romano

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsLibrary of Parliament
FundersUniversity of Cape TownCape Peninsula University of Technology
KeywordsScholarshipThe artsSociologyCurriculumPedagogyCritical practiceSolidarityAestheticsSocial sciencePolitical scienceVisual artsArtLaw

Abstract

fetched live from OpenAlex

vi the "Hottentot Venus" in the classroom.In so doing, a literal and figurative re-membering of the past is activated within the context of the present that has bearing on the future.In keeping with decolonial imperatives, the study concludes with the following overall findings: Critical arts-based pedagogies play an important role in critiquing issues of inclusion, exclusion and assimilation within contemporary academic contexts.ese pedagogies also activate embodied modalities, materials and non-discursive modes of expression that simultaneously question what counts as knowledge and explore how knowledge is produced.Being processual and relational practices, critical arts-based pedagogies enable a disruption of student/educator and researcher/practitioner boundaries.Together with ghosts, we are able to reimagine different futures through our non-innocent entanglements with the haunted and haunting discipline of art history.In summary, the thesis argues that in foregrounding students' "non-dominant" subjectivities, their artworkings disrupt hegemonic discourses.Situating themselves as producers of knowledge, students begin to challenge the dominance of science-based approaches to educational research practice. Keywords: Art history,

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.009
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0170.001

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 head0.023
GPT teacher head0.202
Teacher spread0.178 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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