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Record W3173218777 · doi:10.36510/learnland.v14i1.1050

Sensory Arts-Based Storytelling as Critical Reflection: Tales From an Online Graduate Social Work Classroom

2021· article· en· W3173218777 on OpenAlexaffvenue
Alison L. Grittner, The Social Justice Learning Collaborative

Bibliographic record

VenueLEARNing Landscapes · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsStorytellingThe artsTransformative learningSociologyCitizen journalismDigital storytellingReflection (computer programming)Social learningSocial changePedagogyAestheticsVisual artsPsychologyNarrativeArtPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Drawing upon Heron and Reason’s (1997) participatory inquiry paradigm and extended epistemology, this article explores how six Master of Social Work (MSW) students engaged in sensory arts-based critical reflection concerning their social location, identities, social justice, and social policy. We share our process for creating sensory arts-based stories, the stories themselves, and pedagogical reflections. We elucidate how sensory arts-based storytelling allows learners to draw upon their strengths, unique perspectives, and experiences in the world, generating transformative understandings of social justice. Sensory arts-based storytelling holds potential as an interdisciplinary mode of critical reflection, generating inclusive learning environments oriented towards social 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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.582
GPT teacher head0.604
Teacher spread0.023 · 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 designNot applicable
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

Citations4
Published2021
Admission routes2
Has abstractyes

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