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Record W2045432600 · doi:10.1177/1354856514553899

Imagining engagement

2014· article· en· W2045432600 on OpenAlexaboutno aff
Delia Dumitrica

Bibliographic record

VenueConvergence The International Journal of Research into New Media Technologies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsArticulation (sociology)Social mediaPoliticsSociologyFeelingSocial engagementDemocracyPublic engagementCivic engagementMedia studiesRelation (database)Community engagementFocus (optics)AestheticsPublic relationsSocial psychologyPolitical sciencePsychologySocial scienceLaw

Abstract

fetched live from OpenAlex

The case of the 2010 municipal elections in Calgary, Canada, is used here to explore the discursive construction of social media in relation to political engagement. This article examines the way in which 59 undergraduate students at the University of Calgary discuss political engagement through Facebook and Twitter. Participants enthusiastically constructed a vision of ‘engagement’ fostered by social media’s alleged intrinsic features. Social media, it was argued, create a feeling of community, provide access to information as well as the ability to share it, and open up new means of building personal connections between politicians and citizens. In this articulation, social media appeared as both the tool that produced engagement and the space where this engagement unfolded. The focus of the article is on questioning the implications of this discursive construction by asking what political possibilities are opened up or closed down in this articulation? The construction of social media as the solution to the problems of democracy remains highly problematic, yet also indicative of a deep preoccupation with the conditions of modern life, and particularly the desire to find solutions to the increased complexity of the social systems.

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)0.005
metaresearch head score (Gemma)0.040
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.544
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.040
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0030.000
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 head0.147
GPT teacher head0.459
Teacher spread0.312 · 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 designTheoretical or conceptual
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

Citations13
Published2014
Admission routes1
Has abstractyes

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