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Record W3089216523 · doi:10.5296/ire.v8i2.17475

Learning Through Pictures: The Integration of Reflexive Photography in Social Justice Education

2020· article· en· W3089216523 on OpenAlex
Mary Goitom

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

VenueInternational Research in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsYork University
Fundersnot available
KeywordsReflexivitySociologyExperiential learningPedagogyIdentity (music)BachelorThe artsSocial workSocial justiceReflection (computer programming)Experiential educationEngineering ethicsVisual artsComputer scienceAestheticsSocial sciencePolitical scienceEngineeringArt

Abstract

fetched live from OpenAlex

This article explores the use of reflexive photography as an experiential teaching method in teaching social justice education in an undergraduate social work program. Using critical auto-ethnography as a method, it discusses how this was built into a second-year Bachelor of Social Work (BSW) course by way of planning and application. Drawing on Freire’s concept of reflexive practice and based on the experiences of a social work educator teaching this course, the paper describes how (a) the course was designed and executed to realize student knowledge, (b) reaffirm the importance of reflexive practice for knowledge building and (c) for social transformation. On the basis of reflection from its application and student experiences, the author discusses the potential effect that integrating arts-informed teaching methods have on social justice oriented approaches to social work practice, the development of students’ practice and professional identity.

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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.225
GPT teacher head0.572
Teacher spread0.346 · 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