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Record W2108443538 · doi:10.1521/jsyt.2013.32.4.1

Online Forums as Definitional Ceremonies

2013· article· en· W2108443538 on OpenAlexvenueno aff
Navid J. Zamani, G. Stevenson Smith, Gerald Monk

Bibliographic record

VenueJournal of Systemic Therapies · 2013
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthThe InternetPsychologyPublic relationsConstruct (python library)Internet privacyNarrativeSociologyPolitical sciencePsychotherapistComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

As the internet and accompanying technologies develop, so do the opportunities to help people affected by mental health challenges. The advances in communication technologies have coincided with the growing prominence of the mental health consumer voice prompted by the recovery movement. These emerging threads of change have led to a profound influence in the shaping of mental health services and the nature of assistance received by consumers. This exploratory article discusses how Barbara Myerhoff's (1986) definitional ceremonies can be used to better understand the social exchanges that take place within virtual internet communities to allow those with mental health challenges to proactively shape their recovery. We discuss how the online participants discussed in this article construct their narratives of recovery with peers. The article lays out some of the advantages and disadvantages of virtual communities for those struggling with mental health issues. Finally the article reflects on the role that mental health professionals may have in utilizing technology for promoting clients' mental health and path of 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.184
GPT teacher head0.408
Teacher spread0.223 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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