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Record W1803576430 · doi:10.17231/comsoc.23(2013).1612

Young adults and the digital public sphere: a cross-cultural perspective

2013· article· en· W1803576430 on OpenAlexaff
Micheline Frenette, Marie-France Vermette

Bibliographic record

VenueComunicação e Sociedade · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of OttawaUniversité de Montréal
Fundersnot available
KeywordsPublic spherePoliticsPhenomenonPerspective (graphical)Public relationsThe InternetPublic engagementSociologyPolitical scienceEpistemologyComputer scienceLaw

Abstract

fetched live from OpenAlex

This paper deals with the engagement of young adults in the digital public sphere and attempts to identify some important issues related to the phenomenon as well as some of the challenges for future research. It has often been asserted that the newer generations are disenchanted with traditional party politics and prefer alternative forms of political engagement. Concurrently, it has been stated that, because of their pervasive involvement with ICTs and the unique opportunities they offer, the digital public sphere has become a place of choice for them to enact these newer forms of political engagement. The hypothesis that young adults are part of a digital generation that has redefined its modes of functioning within society has been a motivating factor for a study conducted among university students in four different countries1 to see how these new practices play out in the various spheres of their lives. Among other issues, we explore to what extent and in what ways the Internet has become a new vector for political participation among young adults. We will use part of these data to support our reflection on young adults’ involvement in the digital public sphere and to re-examine the classical premises of what constitutes the public sphere. We conclude by sharing our insights on this phenomenon and discussing further avenues for research in this area.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0020.001
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 head0.030
GPT teacher head0.337
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2013
Admission routes1
Has abstractyes

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