MétaCan
Menu
Back to cohort
Record W2617650790 · doi:10.22230/cjc.2017v42n2a3177

« T’es un vrai … si … » : quand les seniors aiment leur ville au sein de groupes Facebook

2017· article· en· W2617650790 on OpenAlexvenueno aff
Catherine Bouko, Laura Calabrese

Bibliographic record

VenueCanadian Journal of Communication · 2017
Typearticle
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsFlourishingContext (archaeology)SociologySocial mediaPsychologyMedia studiesGeographySocial psychologyWorld Wide WebArchaeologyComputer science

Abstract

fetched live from OpenAlex

In 2014, French and Belgian Facebook members witnessed the flourishing of numerous Facebook groups dedicated to their town or village that shared the same rallying cry, “You’re a real … if …” This trend spread like wildfire, to the extent that more than 160 towns/villages now have an active page on the social network. Seniors are among the most active members of these groups. In this context, the general objective of our study consisted of identifying the mechanisms through which these pages participate in building a real geo-cultural community in which the oldest Facebook members play a central role. To do so, we performed a content analysis of the 842 posts and 5,314 comments written between December 5, 2014 and January 5, 2015 in the groups representing the cities of Hannut and Jodoigne (Belgium) as well as Fourmies and Harnes (France). Our study concerns the topics of the posts, the types of actions performed by the members and the interactions among them. Our research shows that such groups create intergenerational “affinity spaces,” which debunks common misconceptions about how seniors approach the digital world.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.095
GPT teacher head0.392
Teacher spread0.297 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations8
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of CommunicationSame topicAging, Elder Care, and Social IssuesFrench-language works237,207