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Record W4402215088 · doi:10.18432/ari29741

The Capacity of Artmaking Assemblages to Enable Positive Transformations

2024· article· en· W4402215088 on OpenAlexvenueno aff
Marian Tumanyan

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyGeography

Abstract

fetched live from OpenAlex

This article explores how artmaking assemblages bring changes in children’s potential to express themselves. Assemblages are a system consisting of human, non-human, material, and relational elements in a given situation. Through the concept of artmaking assemblage, I explore the arts-based effects emerging around a Finnish schoolgirl participating in artmaking research workshops. Analysed video data from the workshops illustrate how her expression and participation change in and through the artmaking assemblages, and how different details in the artmaking assemblages combine to promote those changes. The girl’s artworks are used as data, as is an interview with the artist who participated in the workshops. The concept of artmaking assemblage is used as a thinking and writing companion when analysing the events from the artmaking processes. I conclude that artmaking processes, when done in a consistent manner and in a trust-based environment, support children’s possibilities to express themselves around sensitive issues.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.700
Threshold uncertainty score0.407

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.338
Teacher spread0.300 · 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 designSimulation or modeling
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
Published2024
Admission routes1
Has abstractyes

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