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Record W1550935566 · doi:10.29173/cjs19893

Epilogue: Through the Forest of Time

2013· article· en· W1550935566 on OpenAlexaffvenueabout
Sourayan Mookerjea

Bibliographic record

VenueThe Canadian Journal of Sociology · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSolidarityRhetoricSociologyPoliticsPoeticsContext (archaeology)MultitudeMediationEnvironmental ethicsSocial scienceAestheticsLawPolitical scienceHistoryArchaeologyLiterature

Abstract

fetched live from OpenAlex

This essay poses three questions with regard to the studies presented in this special issue. What lessons regarding class politics do we draw from these studies of community and its crisis in Wood Buffalo? How are we to assess and understand the prolixity of the rhetoric of community in this context? How do the crises and contradictions of tar sands development in Fort McMurray, Alberta enable us to retheorize the concept of community itself? Bringing into critical juxtaposition postcolonial studies on subalternity with the alterglobalization literature on the multitude, this essay searches for the historical content of the truth that binds political rhetoric enabling various social movements to act in solidarity in opposing tar sands development, and interrogates the community of politics that this politics of community seems to promise. In doing so, the essay argues for the importance of an Utopian social poetics of mediation to the project of a sociology of absences.

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)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.194
Threshold uncertainty score0.650

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1940.051

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 head0.029
GPT teacher head0.273
Teacher spread0.244 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations2
Published2013
Admission routes3
Has abstractyes

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