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Record W1525757162 · doi:10.24908/ijesjp.v3i1.5525

Highland Lake Workshop Conversations about Critical Action

2014· article· en· W1525757162 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Engineering Social Justice and Peace · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsQueen's University
Fundersnot available
KeywordsConversationAction (physics)Theme (computing)SociologySpace (punctuation)Social justiceMedia studiesEconomic JusticeLibrary sciencePolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

On December 6, 2014, Engineering, Social Justice, and Peace (ESJP) co-hosted a one-day workshop with Critical Stage and the University of Western Australia titled “Conversations about Critical Action.” The workshop was hosted at the North American Cultural Lab in Highland Lake, New York. An interdisciplinary group of 14 participants from Australia, England, Canada, and the United States met, representing academics, artists, actors, directors, film-makers, activists, teachers and engineers whose common interest is in making a difference both individually and as a community.The conversation focused on critical reflections of past, present and future actions with the goal of enhancing social justice in discussing the workshop’s main theme: How might I be the person I would most like to be and contribute to making the world more socially just?Using an Open Space Technology format and Talking Circle processes with an interactive approach, the workshop participants developed self-organized sessions.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.054
GPT teacher head0.420
Teacher spread0.366 · 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