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Record W4391730542 · doi:10.1353/esc.2021.a919371

The Prairies Always See You: Speaking with Psychosis

2021· article· en· W4391730542 on OpenAlexvenueno aff
Erin Soros

Bibliographic record

VenueEnglish studies in Canada · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosisHistoryPsychologyPsychoanalysisArtPsychiatry

Abstract

fetched live from OpenAlex

The Prairies Always See You: Speaking with Psychosis Erin Soros (bio) The isolation room is compact—I can almost reach the walls if I stretch out my arms. A corrugated metal grid covers the entire back wall; the front wall is glass. I focus on the side walls, their stretch of beige, how the glossy paint exaggerates the unevenness of the surface. The flatness is uninterrupted by poster or painting. The beige feels close, ominous—the evidence of something gone, a mirror with no reflection, a face with no features. I can find no other clues as to how I have arrived here or why I’m being detained. I am wearing beige cotton pajamas, hospital pajamas. The medical staff had forced me to take off my top and my pants, my bra and underwear, and then they took all my clothing away. Now I match the walls. I could disappear. I’d been allowed one phone call and I wasted it on a mental health advocate who told me, firmly, quickly, that I can refuse to talk, as if my only chance at liberty could be found in one more form of erasure. On the other side of the glass doors, I can see no one, but I do hear the nurses declare the data of other patients, and some of the noise ricochets with my own story, shards of details that are not mine but that fit—the names of places, the names of symptoms. My thoughts hit against the beige walls and slide down them. [End Page 145] And then I find a bond, in the stark isolation that is a psychiatric segregation unit, and this one intuitive choice is what I want to explore in this piece of writing that will remain as small as the room. I look at the wall and remember a reassuring sentence from a conversation the day before on the phone with a friend. I did not use the word psychosis when I spoke to this friend, but instead I said that my mind was awry. He repeated this word, and it seemed right, how I could share its meaning with him, this vocabulary of my choosing, my perspective off-kilter, cockeyed, shards of my mind turning within a kaleidoscope. I was surprised that he was speaking with me at all. I have grown used to another’s discomfort when my words betray the errors of my mind. I have grown accustomed to stiff faces, expedient statements, and swift departures. But he stayed on the phone and found something to trust in my skittering dialogue, how I’d crack open one comment and veer in a new direction, still somehow reaching him, or he’d interrupt to reach me. How am I doing? It was his question, voiced as if his halted attempts had a technique that could be appraised and as if I was the one in the position to judge. This is helpful, I said. I meant both the connection and the words, how they were still working somehow even as I moved them too quickly. I relished the respectful way the question positioned me, when the mad-woman is so often assumed to possess no insight. I could feel the value in my perspective, my own ability to assess what kinds of speech eased my fluster. But where to go from here? I knew he was from the Prairies and so I told him that the Prairies made me feel vulnerable, singular, how I could sense the force of my verticality in the flatness. He responded slowly, but with ease—and he said he was telling me what had been told to him, his gift already a gift—the Prairies always see you. I could imagine standing in the beige wheat fields and finding solace in them, held by a gaze of the ground. He was nowhere near me as I stood facing the beige walls, and then when I sat on the foam mattress on the metal bed, but I recalled his vivid assertion. The Prairies always see you. I had always been a child of the woods—mountain greens, somber firs, generous branches sieving light...

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.000
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.305
Teacher spread0.283 · 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.

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
Published2021
Admission routes1
Has abstractyes

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