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Record W7162000243 · doi:10.82308/23894

Negotiating 'normal' : space, illness and identity in an alternative mental health resource in Montreal

2003· dissertation· en· W7162000243 on OpenAlexaboutno aff
Rosemary Sharples

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationMental healthIdentity (music)Context (archaeology)Meaning (existential)Resource (disambiguation)Narrative

Abstract

fetched live from OpenAlex

This thesis investigates different spaces in the lives of a group of adults living with long-term mental illness in Montreal. In particular, it is interested in exploring the role and functions of an alternative mental health resource that they all attend, using their narratives as the basis of meaning construction. My intention is to illuminate the complex interplay of identity, social participation, and physical place itself in the 'space' of experience for individuals. The way that a description of one of these elements is often in relationship with the other two, and that these connections can be useful in understanding descriptions of experiences by individuals, which, in David Morris' terms occur in a, "realm beyond language" (1997:p29). Finally, the concept of the 'border' is proposed as a tool to reexamine culture, identity and space, and one that is particularly useful in the context of self-help groups.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.067
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.013
Scholarly communication0.0050.003
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.082
GPT teacher head0.449
Teacher spread0.367 · 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
Published2003
Admission routes1
Has abstractyes

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