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Record W1923289608

Support Exchange on the Internet: A Content Analysis of an Online Support Group for People Living with Depression

2013· dissertation· en· W1923289608 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace · 2013
Typedissertation
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsSupport groupPsychologySocial supportActive listeningLonelinessCoachingContent analysisPeer supportSocial psychologyApplied psychologyClinical psychologyInternet privacyComputer sciencePsychiatryPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

Online support groups have shown a strong potential to foster resourceful environments for people living with depression without restrictions of time, space, and stigma. Research has found that users of those groups exchange various types of support. However, due to the scarcity of research, many other aspects of depression online support groups remain inconclusive. In particular, how the support exchange contributes to the everyday lives of users living with depression remains unclear. To contribute to filing some of the knowledge gaps, the present study explored what kinds of support were requested and provided in a depression online support group. By doing so, this study aimed to examine the roles of the depression online support group in the management of depression. Mixed methods were employed with a concurrent triangulation strategy. A sample of 980 posts were selected systematically from the support group. Demographic and clinical information of the users who made those posts were recorded. Quantitative and qualitative content analyses were conducted to examine the types of support being exchanged through those posts. Inter-coder reliability was calculated to ensure the consistency of the coding process. The results indicate that users sought informational support, various types of emotional support and coaching support, and social companionship. Users not only sought listening ears, but also practical advice to cope with the situations they were going through. The group appeared to serve its users as a place to meet others with similar experience; to manage loneliness; to discuss what they could not discuss elsewhere; to "just vent"; to gain advice from multiple perspectives on an issue that had been magnifying the impact of depression; to share the experience with formal care provision systems; to express immediate support needs; to share useful discoveries, accomplishments, and creative ways to manage depression; and to experience the value of helping others. This study supports the idea that depression online support groups have the strong potential to contribute to the everyday lives of people living with depression in a way that is not available elsewhere and in a way that complement to the overall framework of existing care provision systems.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.260
GPT teacher head0.456
Teacher spread0.197 · 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