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Record W2396516159 · doi:10.3138/jcs.49.2.205

Collaborative Performances of Resistance in Twenty-First Century Toronto: Occupy Toronto and <i>The Encampment</i>

2015· article· en· W2396516159 on OpenAlexvenueaboutno aff
Andrea Terry

Bibliographic record

VenueJournal of Canadian Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Resistance (ecology)HistoryCapitalismSociologyLawPolitical scienceArchaeologyPolitics

Abstract

fetched live from OpenAlex

This essay examines connections between protest camps and artist interventions in the Canadian context, focussing on two cases. In October 2011, Occupy Toronto organizers set up a protest camp in St. James Park as part of a global movement in 950 cities to decry the effects of global capitalism. Six months later, another collective set up an artistic occupation consisting of 200 A-frame tents called The Encampment at Fort York National Historic Site. This intervention recast the military fort, which conventionally operates as an open-air living history museum depicting the social and military history of the War of 1812, as a space that showcased the war’s civilian history. The author approaches each as a space of convergence dependent upon the calculated co-ordination of people and tents to signal calls for change. The author also takes into account significant differences between the two camps in that Occupy Toronto was a hard intervention that was ultimately evicted by order of the Ontario Superior Court of Justice, while The Encampment was a soft one, co-commissioned by the city.

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 score0.170
Threshold uncertainty score0.962

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0580.032
Scholarly communication0.0100.002
Open science0.0030.010
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.034
GPT teacher head0.297
Teacher spread0.263 · 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

Citations1
Published2015
Admission routes2
Has abstractyes

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