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Record W2888318143 · doi:10.1177/1363461519892369

Reciprocity membership: A potential pathway towards recovery from mental illness in a Middle Eastern context

2019· article· en· W2888318143 on OpenAlexaff
Jason Hickey, Steven Pryjmachuk, Heather Waterman

Bibliographic record

VenueTranscultural Psychiatry · 2019
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsReciprocity (cultural anthropology)AcknowledgementMental healthSocial psychologyContext (archaeology)Mental illnessSocial exchange theoryMainstreamBalance theoryPsychologyGrounded theorySociologyPublic relationsQualitative researchPolitical scienceComputer sciencePsychotherapistSocial scienceGeographyComputer security

Abstract

fetched live from OpenAlex

While recovery has become a popular framework for mental health services, there is limited understanding of its applicability outside of Western countries. In fact, recent studies in non-Anglophone populations suggest that recovery is contextually dependent and that the implementation of mainstream recovery models risks imposing inappropriate values. We used classic grounded theory to explore the main concerns of mental health service users in a Middle Eastern context and the strategies they use to resolve those concerns. The theory of 'reciprocity membership', a process involving ongoing mutual exchange with a group or community, was developed. Reciprocity membership becomes balanced when an individual is satisfied with their 'contribution to' the group, the 'acknowledgement from' other group members, the 'expectations of' the group, and their 'alignment with' the values of the group. Balance among these conditions is appraised by a sub-process called 'valuing', and developed or maintained by two further sub-processes called 'positioning' and 'managing relationships'. Balanced reciprocity membership seems to be associated with recovery. This study is the first in-depth exploration of people's experience of mental illness in a Middle Eastern context; findings provide evidence for a novel potential pathway towards recovery.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.118
GPT teacher head0.349
Teacher spread0.230 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations6
Published2019
Admission routes1
Has abstractyes

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