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Record W2738953628

Social movements on the web: uses and communication strategies

2013· article· pt· W2738953628 on OpenAlexaboutno aff
Catarina Tereza Farias de Oliveira, Zoraia Nunes Dutra Ferreira

Bibliographic record

VenueComunicação e Informação, Goiânia · 2013
Typearticle
Languagept
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPresentation (obstetrics)Quarter (Canadian coin)VisibilityMovement (music)Social movementPolitical scienceWorld Wide WebAdvertisingGeographyComputer sciencePoliticsArtBusinessAesthetics
DOInot available

Abstract

fetched live from OpenAlex

This research intends to investigate the uses that the popular movements and not Governmental Organizations (ONGs) of Fortaleza makes of the web. We have observed that in recent years this use became frequent in Brazil. As examples we can check the page of the Radio Favela, in Belo Horizonte, and the site Viva Favela, in Rio de Janeiro, amongst other important national experiences. In Fortaleza, the Ellery Quarter had the closed Radio Mandacaru for the Anatei and meets currently with a site of presentation of the quarter and the popular movement. In the Bom Jardim quarter of Fortaleza we find two ONGs, both using sites. Our research intends to understand the supports and the used languages in the presentation of these sites, observing that these forms supports and languages represent more effective spaces of participation. After this first phase of the field research we have the interest to understand the reasons that take the popular movement to use the practical web as forms of mobilization and construction of its visibility. It is also interesting to verify the results that the communication in net brings for the actors who are involved in these movements.

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)0.002
metaresearch head score (Gemma)0.006
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.004
Science and technology studies0.0030.004
Scholarly communication0.0090.006
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.084
GPT teacher head0.353
Teacher spread0.269 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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