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Record W2104579385 · doi:10.1177/1049732309348381

Relationships Between Humor, Subversion, and Genuine Connection Among Persons With Severe Mental Illness

2009· article· en· W2104579385 on OpenAlex
Sean A. Kidd, Rebecca Miller, Geoffrey M. Boyd, Ivette Cardeña

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 Health Research · 2009
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster University
Fundersnot available
KeywordsSubversionMental illnessConnection (principal bundle)PsychologyClinical psychologyPsychiatryMental healthSocial psychologyDevelopmental psychologyPsychotherapistPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Although humor has been linked to resilience among many populations, little is known regarding the role of humor in the coping of individuals with severe mental illness (SMI). In this study, a series of interviews focused on humor was completed by 15 individuals with SMI, with narratives analyzed using grounded theory methods.The marginalized and stigmatized social position occupied by persons with SMI was found to affect both the use and meanings of humor. Humor was described as being the subject of clinical scrutiny. Humor was also emphasized as a means of subverting power differentials revolving around the identity of SMI with, for many, the primary goal being the development of "real" and genuine connections with service providers.

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)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.394
GPT teacher head0.565
Teacher spread0.171 · 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