MétaCan
Menu
Back to cohort

Social Capital Theory

2009· book-chapter· en· W2486359587 on OpenAlexaff
Hossam Ali‐Hassan

Bibliographic record

VenueIGI Global eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsYork University
Fundersnot available
KeywordsConceptualizationReciprocity (cultural anthropology)Social capitalSocial network (sociolinguistics)Social relationCognitive dimensions of notationsSociologySocial psychologyPsychologySocial scienceCognitionComputer scienceWorld Wide WebArtificial intelligenceSocial media

Abstract

fetched live from OpenAlex

Social capital represents resources or assets rooted in an individual’s or in a group’s network of social relations. It is a multidimensional and multilevel concept which has been characterized by a diversity of definitions and conceptualizations which focus on the structure and/or on the content of the social relations. A common conceptualization of social capital in information systems research consists of a structural, relational and cognitive dimension. The structural dimension represents the configuration of the social network and the characteristics of its ties. The relational dimension represents assets embedded in the social relations such as trust, obligations, and norms of reciprocity. The cognitive dimension represents a shared context which facilitates interactions and is created by shared codes, language and narratives. For a single or multiple members of a network, social capital can be a source of solidarity, information, cooperation, collaboration and influence. Social capital has been and remains a sound theory to study information systems in research areas affected by social relations and the assets embedded in them.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.335
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.027
GPT teacher head0.290
Teacher spread0.263 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations6
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueIGI Global eBooksSame topicKnowledge Management and SharingFrench-language works237,207