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Record W4308426226 · doi:10.1145/3500868.3559399

Solidarity and Disruption Collective Organizing In Computing II

2022· article· en· W4308426226 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicComputability, Logic, AI Algorithms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSolidarityComputer sciencePolitical science

Abstract

fetched live from OpenAlex

This workshop responds to the incredible growth of corporate tech power - including during a deadly pandemic - and the growing need for tech workers of all stripes (including researchers/academics) to build grassroots power. This workshop’s twinned themes of solidarity and disruption acknowledge that solidarity is vital but not sufficient to enact the structural changes we need. Disruption— in the form of sit-ins, strikes, refusal, and direct action—has become a necessary condition in the face of technology corporations’ greed-driven expansion towards militaristic, techno-totalitarian futures. In this one-day workshop, we will bring together tech workers, researchers and activists from academia, industry, and community-based organizations to extend conversations that we began in two workshops last year. We will further explore avenues and approaches for action, particularly to support practitioners’ and activists’ objectives, and connect participants with concrete opportunities for on-the-ground action.

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.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.003
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 head0.017
GPT teacher head0.246
Teacher spread0.229 · 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

Quick stats

Citations4
Published2022
Admission routes1
Has abstractyes

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