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Record W1868511033 · doi:10.29379/jedem.v4i1.113

Digital Citizenship and Activism: Questions of Power and Participation Online

2012· article· en· W1868511033 on OpenAlexaff
Maria Bakardjieva, Jakob Svensson, Marko M. Škorić

Bibliographic record

VenueJeDEM - eJournal of eDemocracy and Open Government · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsOpen governmentCitizenshipGovernment (linguistics)Political sciencePower (physics)Digital governmentField (mathematics)Open dataPublic relationsPublic administrationSociologyDigital transformationLaw

Abstract

fetched live from OpenAlex

The eJournal of eDemocracy and Open Government (JeDEM) is a peer-reviewed, Open Access journal (ISSN: 2075-9517) published twice a year. It addresses theory and practice in the areas of eDemocracy and Open Government as well as eGovernment, eParticipation, and eSociety. JeDEM publishes ongoing and completed research, case studies and project descriptions that are selected after a rigorous blind review by experts in the field.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0050.037
Scholarly communication0.0170.022
Open science0.0010.009
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0160.001

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 head0.043
GPT teacher head0.363
Teacher spread0.320 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations31
Published2012
Admission routes1
Has abstractyes

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