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Networked Individualism, East Asian Style

2016· reference-entry· en· W2482497528 on OpenAlex
Vincent Chua, Barry Wellman

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

VenueOxford Research Encyclopedia of Communication · 2016
Typereference-entry
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsIndividualismSalience (neuroscience)GuanxiEast AsiaSociologyStyle (visual arts)Context (archaeology)KinshipGender studiesChinaPolitical scienceGeographyPsychologyAnthropology

Abstract

fetched live from OpenAlex

Abstract “Networked individualism” represents the phenomenon that people are managers of their own personal networks. Networked individualism in an East (and Southeast) Asian context draws attention to the significant role of Asian social institutions and culture in the patterning of personal communities. When compared to Western situations—particularly American—East Asian personal communities are just as vibrant and supportive. They have woven seamlessly with digital media, extend both near and far, and are rich in social support. There are several differences that make East Asian societies unique, such as their strong focus on kinship, the salience of hierarchical social capital, the culture of mutual monitoring occurring through strong ties (e.g., guanxi), and the accelerated rise of digital media in everyday life.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.388
Teacher spread0.303 · 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