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Record W2600511112 · doi:10.38140/pie.v33i4.1938

Seeing how it works: A visual essay about critical and transformative research in education

2015· article· en· W2600511112 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePerspectives in Education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhotovoiceTransformative learningVisual researchParticipatory action researchScholarshipVisual thinkingSociologyCitizen journalismPhoto elicitationExhibitionPedagogyPsychologyVisual artsMathematics educationComputer sciencePolitical science

Abstract

fetched live from OpenAlex

As visual researchers in the field of education we have initiated and completed numerous participatory projects using qualitative visual methods such as drawing, collage, photovoice, and participatory video, along with organising screenings and creating exhibitions, action briefs, and policy posters. Locating this work within a critical paradigm, we have used these methods with participants to explore issues relating to HIV and AIDS and to gender-based violence in rural contexts. With technology, social media, and digital communication network connections becoming more accessible, the possibilities of using visual participatory methods in educational research have been extended. However, the value of visual participatory research in contributing to social change is often unrecognised. While the power of numbers and words in persuasive and informative change is well accepted within the community of educational researchers, the power of the visual itself is often overlooked. In this visual essay, we use the visual as a way to shift thinking about what it means to do educational research that is transformative in and of itself. As an example we draw on our visual participatory work with 15 first-year women university students in the Girls Leading Change1 project to explore and address sexual violence at a South African university. We aim to illustrate, literally, the possibilities of using the visual, not only as a mode of inquiry, but also of representation and communication in education and social science scholarship.

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.

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)0.011
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.607
GPT teacher head0.715
Teacher spread0.108 · 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