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Record W2323412436 · doi:10.1177/1474022214545921

A ‘journey in feminist theory together’: The <i>Doing Feminist Theory Through Digital Video</i> project

2014· article· en· W2323412436 on OpenAlexafffund
Rachel Hurst

Bibliographic record

VenueArts and Humanities in Higher Education · 2014
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsSt. Francis Xavier University
FundersUniversity of ReadingJ.W. McConnell Family FoundationSt. Francis Xavier University
KeywordsFeminist pedagogyPraxisSociologyFeminist theoryDigital storytellingFeminist philosophyFeminismPedagogyEpistemologyGender studies

Abstract

fetched live from OpenAlex

Doing Feminist Theory Through Digital Video is an assignment I designed for my undergraduate feminist theory course, where students created a short digital video on a concept in feminist theory. I outline the assignment and the pedagogical and epistemological frameworks that structured the assignment (digital storytelling, participatory video and feminist approaches to service learning) before presenting an analysis of its learning outcomes gleaned through interviews with students. I argue that incorporating creative and service learning components into a feminist theory course deepens student learning about praxis and subjectivity because it engages their spirit, mind and body, leading to a sustained engagement with feminist theory and an ability to imagine feminist theory outside of the university classroom. My objective for this paper is to share what I have learned as an educator from this project, and that this will be useful to others interested in adapting this kind of assignment to their own pedagogical contexts.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.771
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.100
GPT teacher head0.379
Teacher spread0.279 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations8
Published2014
Admission routes2
Has abstractyes

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