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Record W2024971298 · doi:10.1177/1077800405278772

Poetry and Prose: Telling the Stories of Formerly Homeless Mentally Ill People

2005· article· en· W2024971298 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

VenueQualitative Inquiry · 2005
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsDefence Research and Development CanadaWilfrid Laurier University
Fundersnot available
KeywordsPoetryMentally illSalience (neuroscience)PsychologyPerceptionQualitative researchSociologySocial psychologyMental illnessMental healthCognitive psychologyLiteraturePsychotherapistArtSocial science

Abstract

fetched live from OpenAlex

This article discusses some of the possible advantages of a poetic representation of social experience through a selection of four poems based on the words and organized by the salience and time sequence “logic” of participants in a study of formerly homeless mentally ill men and women who are currently housed. The initial report was a qualitative evaluation of the perceptions of this sample of formerly homeless mentally ill people of the benefits of the housing currently provided. It offers a categorical analysis of personal, relationship, and resource issues across childhood, adulthood, and since supported/supportive housing. The present analysis, based on the same interviews, destabilizes the original findings and offers a different window into the lives of the study participants. It does this through prose poems that replicate the language, the central issues of the participants, and their braided logic-in-use among other things.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.013
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.365
GPT teacher head0.537
Teacher spread0.172 · 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