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Record W14034842

Supporters in Deed – Studying Online Support Provision from the Perspective of Social Capital

2012· article· en· W14034842 on OpenAlex
Kuang-Yuan Huang, InduShobha Chengalur‐Smith, Özlem Uzuner, Priya Nambisan, Namjoo Choi

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

VenueInternational Conference on Information Systems · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsMcGill University
Fundersnot available
KeywordsSocial capitalSocial exchange theorySocial supportKnowledge managementBridge (graph theory)The InternetInterpersonal communicationVirtual communityPublic relationsPeer supportInternet privacyComputer sciencePsychologySociologySocial psychologyWorld Wide WebPolitical scienceSocial science
DOInot available

Abstract

fetched live from OpenAlex

The phenomenon of social support – aid and assistance exchanged through social relationships and interpersonal transactions – has been studied for decades with a focus on discovering the mechanism that lies between support exchange and personal wellbeing. In the age of the Internet, researchers also have shifted their focus to online support exchange. However, little attention has been paid to conceptualizing the determinants of support provision in virtual support communities. Drawing from social capital theory, this study attempts to bridge this gap by presenting a model that applies the structural, relational, and cognitive dimensions of social capital to theorize the determinants of the provision of informational and emotional support in virtual support communities. Through the use of social network analysis and machine learning techniques, messages from a virtual support community for women with breast cancer are analyzed. The analysis results are used for empirically testing the framework modeling support provision.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.997

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.062
GPT teacher head0.348
Teacher spread0.286 · 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