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Record W4410632621 · doi:10.22215/etd/2024-16428

Art as Gender Pedagogy: A Transdisciplinary Investigation of Art in the Service of Gender Liberation

2024· dissertation· en· W4410632621 on OpenAlexaboutno aff
Cara Claire Tierney

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyGender studiesArtPedagogyAesthetics

Abstract

fetched live from OpenAlex

Part qualitative research study, part autoethnography, part research-creation and A/R/Tography, this transdisciplinary dissertation questions traditional methods for learning about gender and concludes that combining creative practice and radical pedagogy can foster modes of critical thinking, self-reflection, and self-authorship that move beyond the dominant gender binary. Each chapter is unique in approach and subject, and together they seek to generate insight into the way art facilitates knowledge of gender identity, to better understand how creative practice and experiencing art can foster gender literacy and liberation. Through the work and the practice of interdisciplinary artist, poet, and activist Kama La Mackerel, Chapter 1 argues that exploring gender through creative practice, whether as producer or viewer, can challenge dominant colonial scripts and facilitate affirmative and nuanced awareness of non-normative gender identification. Chapter 2 presents the transcripts of four interviews with Joshua Vettivelu, Kama La Mackerel, Theo Cuthand, and Emma Lind, who reflect on their intimate knowledges of creative practice, pedagogy, and gender non-normativity. Chapter 3 argues that dominant practices of Equity, Diversity and Inclusion largely fail to achieve their goals and offers a better, more effective approach that combines art with critical pedagogy. Chapter 4 is a case study that reveals how a months-long, arts-based, critical pedagogical process that I co-created with other Ottawa artist-activists, The Decommissioned Project, resulted in lasting social transformation and communal space-crafting.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.318
Threshold uncertainty score0.996

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)0.0050.000

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 head0.071
GPT teacher head0.325
Teacher spread0.255 · 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 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
Published2024
Admission routes1
Has abstractyes

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