MétaCan
Menu
Back to cohort
Record W2131307027 · doi:10.15353/joci.v6i3.2545

Inside the "People of the Wheelbarrows": participation between online and offline dimension in the post-quake social movement

2011· article· en· W2131307027 on OpenAlexvenueno aff
Manuela Farinosi, Emiliano Treré

Bibliographic record

VenueThe Journal of Community Informatics · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsnot available
Fundersnot available
KeywordsQuake (natural phenomenon)Online and offlineMovement (music)EthnographyTriangulationVariety (cybernetics)Social movementDimension (graph theory)SociologySocial mediaMedia studiesComputer scienceWorld Wide WebPolitical scienceGeographyArtificial intelligenceAestheticsCartographyArtMathematicsPolitics

Abstract

fetched live from OpenAlex

The aim of this paper is to analyze a social movement which emerged after the earthquake in L'Aquila (Italy): "The People of the Wheelbarrows". With triangulation of semi-structured interviews, offline ethnography and content analysis of the movement's Facebook group we tried to answer to the following research question: how is the movement's participation articulated between online and the offline dimensions? Our findings show the importance of the local level, the continuous interplay between the online and the offline and the simultaneous use of a variety of online platforms. The results highlight the role that the Web has played in the coordination of the movement and in the management of meetings and events and show that when physical spaces collapse, online spaces acquire a vital importance.

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)0.004
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.008
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.084
GPT teacher head0.341
Teacher spread0.257 · 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

Citations23
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Community InformaticsSame topicPublic Relations and Crisis CommunicationFrench-language works237,207