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Record W4213084748 · doi:10.3138/utq.91.1.06

Introduction to the Creative Humanities

2022· article· en· W4213084748 on OpenAlexaffvenueabout
Brandon McFarlane

Bibliographic record

VenueUniversity of Toronto Quarterly · 2022
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsSheridan College
Fundersnot available
KeywordsCreativitySociologyCreative classHumanismCommercializationPoliticsHumanitiesSocial sciencePolitical scienceArtLaw

Abstract

fetched live from OpenAlex

The creative humanities respond to the creative turn in art, culture, and higher education. In the decades bracketing the millennium, art and culture were instrumentalized to underwrite growth in the creative economy by attracting world-class talent and generating spin-off benefits for hospitality and tourism. Similarly, higher education was retooled to train labour for the creative economy and bring tangible innovations to Canadian communities. These broadscale shifts present pertinent challenges to humanists: we need new theories to critically examine the production, politics, aesthetics, and second-order consequences of culture vis-à-vis the creative economy, and we also need theories and practices that can strategically situate the humanities within neoliberal models for higher education that increasingly prioritize career preparedness, creativity, innovation, and commercialization. Three emergent theories of humanities creativity and innovation – critical creativity, critical making, and meta-creativity – are delineated to showcase how they can be broadly applied to leverage neoliberal discourse to gain access to resources and opportunities while nevertheless championing alternative models grounded in social justice and the social good.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.991

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)0.0280.000

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 head0.019
GPT teacher head0.263
Teacher spread0.244 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations2
Published2022
Admission routes3
Has abstractyes

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