MétaCan
Menu
Back to cohort
Record W4404414026 · doi:10.4000/12i6w

Die Idee, die aus der Kälte kam – Community Art in Finnland

2015· article· fr· W4404414026 on OpenAlexaboutno aff

Bibliographic record

VenueFiligrane · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article présente le témoignage d’une artiste engagée qui s’est consacrée à « l’art communautaire » (Community Art). Ce mouvement, qui a vu le jour dans les années 60 aux Etats-Unis, s’est rapidement propagé au Canada, en Grande Bretagne, en Irlande et en Scandinavie. Il vise à mettre l’art au service de populations la plupart du temps marginalisées socialement, économiquement, culturellement ou géographiquement, afin de les soutenir dans leurs questionnements et la recherche de leurs propres réponses. L’art devient ainsi le catalyseur de transformations et le facilitateur de liens au sein de la communauté, locale ou virtuelle.L’artiste allemande Pia Bartsch est, grâce à la Fondation Saari qui attribue des bourses à des chercheurs en sciences sociales, sciences de l’esprit et en art, en résidence en Finlande où elle travaille avec les habitants de Mynämäki au sud-ouest du pays. A travers un journal de bord, elle relate trois expériences artistiques menées avec différents groupes d’habitants de tous âges dans le but de renforcer leur compréhension et leur attention mutuelles.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.027
Scholarly communication0.0080.005
Open science0.0010.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.140
GPT teacher head0.323
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueFiligraneSame topicCultural Industries and Urban DevelopmentFrench-language works237,207