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Record W4405551847 · doi:10.1386/9781835950364_9

Ethno Online: An Analysis of Social Media Engagement on Facebook

2024· book-chapter· en· W4405551847 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

VenueIntellect eBooks · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of TorontoThe Scarborough Hospital
Fundersnot available
KeywordsSocial mediaCyberpsychologySociologyInternet privacyMedia studiesPsychologyWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

This chapter considers social media engagement by those affiliated with the intercultural music exchange program known as Ethno. In total, 855 social media posts and their replies/reactions, from inception through June 30, 2021, were examined. Posts were distinguished as either informational or phatic. Overall, social media participation and engagement were considered low, with notable differences in content and posting behaviour between the private group, Ethnopia, and the public group, Ethno Forever. Three conclusions were drawn: (1) social networking platforms function as participatory ecosystems; (2) the purposes and motives of social media participants are often ambiguous; and (3) social networking platforms can provide space for discussions of complex intercultural issues that do not typically occur during Ethno gatherings.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.112
GPT teacher head0.375
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