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Record W2916919307 · doi:10.18432/ari29418

Crafting Living Inquiry with a Quilt of Children’s Images

2019· article· en· W2916919307 on OpenAlexvenueno aff
Corinna Peterken

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsQuiltCraftBricolageVisual artsQuiltingEmbodied cognitionEarly childhoodUnpackingPsychologyPedagogySociologyArtAestheticsDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

Embodied encounters in and with crafting as method led to knowing with making in this research. A crafted bricolage of photographs from young children (aged 15 months to 5 years) was created at their early childhood centre. The children’s photographs became material for further thinking as they were transferred to fabric and combined into a quilt that was tie quilted by children and the researcher as artist/researcher/teachers (Springgay, Irwin, Leggo, & Gouzouasis, 2008). Our craft processes in quilt making initiated ongoing integrated art-making, teaching/learning, and conversations with and without words. Much research in early childhood has a focus on the child, but what do children focus on, and how might they be more than participants? Rich experiences throughout the co-creation of the quilt as a living inquiry provided spaces for learning and knowledge making. Craft as research and a piece of art to display for the learning community provoked questions and opened understandings about and with young children, their preferences, and their capacity as co-researchers.

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)0.004
metaresearch head score (Gemma)0.007
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.062
GPT teacher head0.348
Teacher spread0.286 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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