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Record W4398153952 · doi:10.34768/dma.vi24.696

What are adult education and research for? Researching (and) the feminist imaginary

2023· article· en· W4398153952 on OpenAlexaff
Darlene E. Clover

Bibliographic record

VenueDyskursy Młodych Andragogów. · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsThe ImaginarySociologyGender studiesPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

As an academic teaching courses on critical theories of adult education, I employ artsbased teaching and research and facilitates community workshops worldwide. I argue that working across formal and nonformal spaces is a central part of the social responsibility of academics in adult education to work for change, and equally, stems from the conviction that theory and practice need one another. Theory enables us to see more deeply and clearly into what is taking place in the world or what we are being taught to see and to believe about the world. Theory guides both the why and how we educate, the context and intention of which is central and the diverse methods we use, which are elemental.I wish to ask the strategic question: What are adult education and research for? How participants and students answer this question, this essay argues, depends on where they stand and their perceptions of the world and of education and learning. Everything adult educators think, say, do and/or teach is done in context. My context as a feminist adult educator is our highly inequitably gendered world. Gender is understood as central to the web of assumptions behind dominant social imaginaries that hold certain conceptual frames in place. I maintain that the mesh of recent crises has brought to light a steady rise of a global patriarchal backlash of fundamentalist and fascist agendas across the globe, threatening the gains made by women and LGBTQIA communities. Asking what feminist adult education and research are forproduces a complex of answers, but for adult education and research the answer must be: for radicalgender and social justice change, for the disruption of patriarchal knowledge, for the fight against “epistemic injustice”, and for new imaginaries for women to make sense of and story the worlds they inhabit. Finally, the essay discusses the aims and methods of a 5-year international SSHRC project focused on feminist imaginary as a pedagogical tool for epistemic justice and change.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.064
GPT teacher head0.462
Teacher spread0.398 · 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
Published2023
Admission routes1
Has abstractyes

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