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Record W2939892999

Experiencing wellbeing at La Ruche d'Art: Methods and materials of an art hive

2017· article· en· W2939892999 on OpenAlexaboutno aff
Janis Timm‐Bottos

Bibliographic record

VenueidUS (Universidad de Sevilla) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsArtVisual artsAestheticsArt history
DOInot available

Abstract

fetched live from OpenAlex

Involvement in the creative arts has a sustained and positive impact on mental and social wellbeing. Adding a third space for arts-based social inclusion, community engagement, and service learning for university students, provides a powerful vehicle for civic exchange across diverse demographics. Over time, a community art studio, aka Art Hive, provides a platform for participatory practice research leading to social innovation. This workshop recreated in part, La Ruche d'Art (The Art Hive), a university storefront classroom and a public home place for residents in a low wealth neighbourhood in Montreal. A public home place is a protected safe space, both psychologically and physically, which invites community members to share their skills and develop their unique voices. The workshop introduced theories, methods, and materials used in the Art Hive. Attendees assembled small visual journals based on creative reuse principles while sharing stories related to the relevance and scope of these special third spaces. Concordia University‘s Art Hive launched in 2011 hosts a network of 100 Art Hives across North America and Europe. This workshop encouraged participants to consider developing an Art Hive in their workplace or community.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.978

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)0.0010.000

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 head0.036
GPT teacher head0.357
Teacher spread0.321 · 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 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

Citations1
Published2017
Admission routes1
Has abstractyes

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