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Record W2891854436 · doi:10.1111/jade.12193

<i>#3CityLink:</i> Disrupting Learning through a Translocal Art Pedagogy Exchange Project

2018· article· en· W2891854436 on OpenAlexaboutno aff
Katherine Wimpenny, Rachelle Viader Knowles, Christine Ramsay, Jacqui Speculand

Bibliographic record

VenueInternational Journal of Art & Design Education · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsVisual arts educationPedagogyStudioThe artsVisual artsNarrativeSociologyPsychologyArt

Abstract

fetched live from OpenAlex

Abstract #3CityLink involved fine arts researchers, artists and students in three cities: Regina, Canada; Coventry, UK ; and Gyumri, Armenia. The project presented a platform for translocal creative interactions using online screen‐based media and on‐the‐ground dialogues. Artists and students investigated the concerns of their locale, questioning the role of the artist in building narratives, revealing lost histories and imagining the future of where they live. Using descriptive case study design, the findings present the opportunities for enriching the student learning experience through challenging habitual approaches to art production, through alternative approaches to digital pedagogy in art education. Students’ artwork took on new dimensions beyond what they could have produced working in relative isolation in a university‐only studio setting. Students were encouraged to pursue and persist in online learning spaces whilst also taking responsibility for organising their own learning and that of others. Nonetheless, using visual technology and social media for connected, artistic, co‐investigation needs further refinement to engage learners, and enhance the quality of visual presence and its potential in open education.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.069
GPT teacher head0.365
Teacher spread0.297 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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