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Record W4415582615 · doi:10.18432/ari29848

A Journey in the Land where Art, Design, and Research Intersect

2025· article· en· W4415582615 on OpenAlexvenueno aff
Daria Loi

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsSection (typography)Key (lock)EthnographyQualitative researchReflective practice

Abstract

fetched live from OpenAlex

Abstract: Through a series of projects, this article discusses the role that objects play when art, design, and research intersect. The article is divided into nine sections. After a preamble, I discuss The Pea Project, key to understanding how anomalous objects and odd experiences stimulate reflectiveness, curiosity, creativity, and collaboration. “A Surrealist Encounter” discusses how contexts can be designed to foster reflective and collaborative practice, while Reflective Probes focuses on artifacts designed to stimulate reflective practice. I then discuss activation of receptive modes of engagement through playful triggers and travelling containers. Progetto in Memoriam further explores art, research, and ethnographic practices, and Debris explores simultaneous roles as a designer, artist and ethnographer. While section 8, They Said, looks at how prior learnings were used to deepen my understanding of self, the final section provides conclusive remarks, reiterating the opportunities that exist when art, design, and research intermingle and collide.

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)0.031
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.048
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0230.059
Scholarly communication0.0480.053
Open science0.0030.029
Research integrity0.0070.014
Insufficient payload (model declined to judge)0.0160.004

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 head0.197
GPT teacher head0.445
Teacher spread0.249 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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