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Record W2957738020 · doi:10.24425/sts.2019.126143

The Impact of Social Capital on Political Participation of Social Media Users in Poland

2019· article· en· W2957738020 on OpenAlex
Kamil Filipek

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

VenueStudia Socjologiczne · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsImpact
Fundersnot available
KeywordsSocial capitalPoliticsSocial engagementSocial mediaSociologyPolitical scienceDemographic economicsSocial scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Research on participation of social media users has contributed to our understanding of modern citizenship, civic engagement, and contemporary public sphere. Despite a growing interest in participatory practices in social media little is known about the factors affecting political participation of social media users. Based on an online survey of 700 social media users in Poland, this study examines the relationship between social capital (defined at the individual level as a resource embedded in personal networks) and political participation. It has been established that there is a contradictory relationship between social capital and participatory activities of social media users. Apparently, differences between the resources that are only embedded in personal networks on the one hand, and those that can be mobilized for purposive actions on the other, matter when association between social capital and political participation is considered. Moreover, the presence of these resources significantly varies across different types of social relations (family, friends and acquaintances) of respondents engaged in different participatory actions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.047
GPT teacher head0.395
Teacher spread0.348 · 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