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Record W2210510329

Music is Social: From Online Social Features to Online Social Connectedness

2015· article· en· W2210510329 on OpenAlex

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 · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsMcGill University
Fundersnot available
KeywordsSocial connectednessFeelingOnline participationSocial network (sociolinguistics)Internet privacySocial relationSocial computingConsumption (sociology)Social learningSocial heuristicsValue (mathematics)Social mediaComputer scienceSocial competencePsychologySocial psychologySociologyWorld Wide WebSocial changeThe InternetKnowledge managementPolitical scienceSocial science
DOInot available

Abstract

fetched live from OpenAlex

Despite the widespread adoption of social networks, the value of implementing similar opportunities for social interaction into online content consumption websites has received limited attention. The research that has been done suggests that there is significant potential in implementing social features on these sites, since increased interaction can lead to higher engagement with the site, and to an increase in users’ willingness to pay for the site. Considering that music is an inherently social good, and that consumers desire the opportunity to involve social aspects into their consumption of music, this study develops a framework of social features and the social interactions they enable and examines the relationship between the features and online social connectedness. Results suggest that this distinction of social features from other features is valuable, and the type of features that is most likely to lead to feelings of connectedness is highlighted. Implications for site developers and researchers are also discussed.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.980

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 studies0.0010.000
Scholarly communication0.0010.001
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 head0.130
GPT teacher head0.370
Teacher spread0.240 · 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