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Record W3004746394 · doi:10.1386/eta_00020_1

Splashes of light: Parents of children with dyslexia explore experiences through visual arts

2020· article· en· W3004746394 on OpenAlexaff
Jennifer C. Watt

Bibliographic record

VenueInternational Journal of Education through Art · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPraxisThe artsDyslexiaFocus groupThematic analysisPsychologyVisual artsFocus (optics)PedagogySociologyQualitative researchArtReading (process)Social scienceEpistemologyPolitical science

Abstract

fetched live from OpenAlex

Abstract This article examines the critical disability praxis grounding a research study that explored the lived experiences of parents of children with dyslexia through in-depth interviews and arts-based focus group. The participants engaged in visual arts practices to create provoking images of the issues facing themselves or their families. This multimodal experience became an opportunity for the participants to raise awareness of the needs of families with learning disabilities. This article focuses on two parent-artists who created visual pieces that shared a thematic focus on darkness and light. Both pieces contribute to a deeper understanding of the challenges and difficulties that these parent-artists encountered, but also gave them the opportunity to voice the more affirmative and empowering aspects of their experiences.

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)0.003
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 score0.006
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0060.006
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.391
Teacher spread0.343 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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