MétaCan
Menu
Back to cohort
Record W3034882419 · doi:10.1111/jtsb.12239

Reconceptualizing the generation in a digital(izing) modernity: digital media, social networking sites, and the flattening of generations

2020· article· en· W3034882419 on OpenAlexaff
Anson Au

Bibliographic record

VenueJournal for the Theory of Social Behaviour · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsModernitySociologyEpistemologyContext (archaeology)Late modernitySet (abstract data type)AestheticsSocial scienceComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract As digitalization binds society to an apparently perpetual acceleration, questions about the nature of time and speed have gained new urgency in the social sciences. Yet, theorizations of these issues have neglected their implications for social life and generations. Linking these lacunae, this article articulates how digital media and social networking sites (SNS) shape social life through cultural transformations in the generation. This article rationalizes predominant patterns of SNS user behaviors in the context of social theoretical and philosophical frameworks informed by Mannheim, Simmel, Adorno, Benjamin, Arendt, social presence, action, and acceleration theories to offer a relational reconceptualization of the generation as a set of social relations and processes for visualizing changing conceptions of time and speed in a digital (izing) modernity. This article introduces the concept of general and local generationing processes to articulate the processual nature of the generation and to assert that trends in SNS use and content production are underwritten by grammatical logics that collectively “flatten” separate traditional generations to form a cross‐demographic and cross‐temporal digital generation.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.128
GPT teacher head0.325
Teacher spread0.197 · 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 designQualitative
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

Citations9
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal for the Theory of Social BehaviourSame topicGender, Feminism, and MediaFrench-language works237,207