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Record W7083302388 · doi:10.22329/uwdj.v1i1.8268

Constraint Poetry on Disability and Disability as Constraint

2023· article· en· W7083302388 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUWill Discover Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsConstraint (computer-aided design)PoetryScholarshipInclusion (mineral)Constraint learningMirroringDisability studies

Abstract

fetched live from OpenAlex

This project elevates constraint poetry – a genre with restrictions like metre, as opposed to free verse – as a vessel for sharing disabled experiences. This area of research is especially important for advancing representations of the disabled, a stereotyped and underrepresented demographic. Sharing a constraint poem that I wrote about my multiple sclerosis (MS), the relevance of constraint poetry for disability studies manifests in the writing constraint mirroring the occasionally invisible, yet restricting, nature of MS. This poem catalyzed my research into applying constraint poetry to disability studies, forming the basis of the dissertation that I plan to write in my upcoming master’s in creative writing. Current scholarship in the field includes applying constrained writing to prisoners and the enslaved but lacks inclusion of those with disabilities. My future plans include drawing upon perspectives of disabled people and medical professionals to depict the spectrum of constraint produced by disability, as well as creating new constraints that can better express specific symptoms. This dissertation would be a collection of my constraint poetry on different disabilities and would be the first of its kind.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.296
Teacher spread0.278 · 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