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Record W4386158246 · doi:10.18432/ari29652

Schizo-Poetic Inquiry of a First-Year Doctoral Experience

2023· article· en· W4386158246 on OpenAlexaffvenue
Kate Roberts Bucca

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2023
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsPoetryPsychologyTimelineConversationEmbodied cognitionMental healthSession (web analytics)Identity (music)PedagogyMental illnessPoeticsMedical educationVisual artsAestheticsPsychotherapistArtMedicineLiteratureCommunication

Abstract

fetched live from OpenAlex

Undertaking a doctoral program is a significant commitment involving sustained effort as an individual engages in academic work and scholarly identity formation. As a graduate student with a psychiatric disability, I face an added layer of challenge: dealing with symptoms as I navigate an academic system that is not designed for bodyminds like mine. This poetry and visual art collection offers a glimpse into my experience as a first-year doctoral student with schizoaffective disorder1 as I navigated Zoom classrooms, considered academic timelines and campus mental health awareness week, and wrestled with symptoms during the summer session. Through a schizo-poetic and visual inquiry informed by disability poetry and schizo-poetics, I present an embodied, multi-sensory exploration to highlight similarities and differences in the experiences of doctoral students with mental illness and their neurotypical peers, as well as to expand the conversation around disability and academia.

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)0.006
metaresearch head score (Gemma)0.008
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 score0.016
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0160.026
Scholarly communication0.0090.006
Open science0.0010.013
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.319
GPT teacher head0.524
Teacher spread0.205 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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