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Record W4416179463 · doi:10.18737/0607291066

Lab Rats and Book Bodies: Creating Intersubjectivity for Patients and Practitioners

2025· article· W4416179463 on OpenAlexaboutno aff
Darian Stahl

Bibliographic record

VenueThe Journal of Humanities in Rehabilitation · 2025
Typearticle
Language
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsnot available
Fundersnot available
KeywordsIntersubjectivityAgency (philosophy)Embodied cognitionHealth careMedical humanitiesPublic health

Abstract

fetched live from OpenAlex

The labyrinthine basement of a biomedical research laboratory is an unlikely place to find an artist. In 2019, I pursued an artist residency at the McGill University Fertility Research Laboratory to better understand the mechanisms of ovulation that seemed to be failing my sister’s attempts at conception and motherhood, in addition to the other ways her body continued to oppose her will. My goal was to procure source material for a person visualizing infertility while also living with chronic illness. What I had not expected was the expansion of this arts-based research to envelop not only the scientists working in this lab, but the lab mice also residing in this space. The final format of the artwork as a handmade book promotes an intersubjective experience of illness and health, as readers use their bodies to engage with the voices and unique materials held within this multi-sensory medium. The outcomes of this residency, along with numerous other artworks featured in my recently published book, Embodied Books: Experiencing the Health Humanities Through Artists’ Books (Figure 1), make ‘sense-able’ to healthcare workers, learners, and the general public the extraordinarily complicated issues of ethics and agency when it comes to medical care.

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 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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.231
Threshold uncertainty score0.876

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.325
Teacher spread0.304 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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