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Record W4366588268 · doi:10.1145/3544549.3573812

Supporting Social Movements Through HCI and Design

2023· article· en· W4366588268 on OpenAlexaff
Adrian Petterson, Ashique Ali Thuppilikkat, Paridhi Gupta, Shamika Klassen, Margaret Jack, Jun Liu, Priyank Chandra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGrassrootsSocial movementScope (computer science)Public relationsDemocracyCitizen journalismSociologyPolitical scienceComputer scienceWorld Wide WebPolitics

Abstract

fetched live from OpenAlex

The use of digital technologies in grassroots community organizing has multifaceted implications. It has extended the scope of sharing information and experiences, building solidarities and coordination, and fostering common identities to enable participation and amplify the voice of diverse actors in social movements. However, the rise of surveillance technologies, computational propaganda and internet shutdowns are creating novel barriers to democratic action, particularly affecting the participatory parity of marginalized grassroots groups. This one-day hybrid workshop will invite conversations on the complex interrelation between ICTs and social movements and devise ways to support grassroots movements by bringing together HCI researchers, activists and designers. We invite formal position papers to participate in workshop and encourage participants to ideate and contribute to creating zines that can serve as a helpful resource for supporting grassroots 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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.079
GPT teacher head0.365
Teacher spread0.287 · 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.

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

Citations8
Published2023
Admission routes1
Has abstractyes

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