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Record W2990589730

Received Support, Perceived Support, and Social Support Observation and Provision in Virtual Communities.

2019· article· en· W2990589730 on OpenAlexaff
Kuang-Yuan Huang, Shobha Chengalur-Smith

Bibliographic record

VenueJournal of the Association for Information Systems · 2019
Typearticle
Languageen
FieldComputer Science
TopicPeer-to-Peer Network Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsSocial supportComputer sciencePsychologyKnowledge managementSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

While the concept of online social support, and its sources and outcomes, have been studied extensively in the IS literature, there is some conceptual ambiguity about the two aspects of social support – social support that is actually received from partners (received support) and the psychological belief of the availability of supportive others (perceived support). Additionally, the literature on online social support has largely neglected the effects of observing other people’s social support exchange (support observation) on the attitude and behavior of the self. Drawing on social support research and social exchange theory, this study proposes a model that integrates these related social support concepts – perceived support, received support, support observation, and social support provision, and examines their inter-relationships to clarify these ambiguities. Through analyzing the structural model and social support exchange networks, our goal is to expand the IS literature on, and improve our understanding about, online social support.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.000
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 head0.017
GPT teacher head0.237
Teacher spread0.220 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2019
Admission routes1
Has abstractyes

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