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Record W2045575406 · doi:10.1093/cdj/bsm010

What's left in the community? Oppositional politics in contemporary practice

2007· article· en· W2045575406 on OpenAlexaff
James DeFilippis, Robert J. Fisher, Éric Shragge

Bibliographic record

VenueCommunity Development Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsConcordia University
Fundersnot available
KeywordsPoliticsSociologyPolitical economyGlobalizationImmigrationImperfectCommunity organizationPolitical sciencePublic relationsLaw

Abstract

fetched live from OpenAlex

The growth of community-based not-for-profits in the Anglo-American world has been mirrored by weakened political demands and a diminished set of critical political perspectives. Nevertheless, significant efforts in Anglo-American communities still exist and provide examples of community-based organizing that have not lost sight of the goals of social and economic justice. This article explores practice examples that demonstrate the existence and possibilities of politically oppositional community organizing in the current difficult and complex political economy. These examples present effective, if imperfect, community initiatives. The three discussed – The Fifth Avenue Committee, ACORN, and Immigrant Worker Centres – offer alternatives to contemporary forms of community practice moderated by economic globalization and the policies of neo-liberalism. The article ends by drawing lessons from these experiences and their potential in the contemporary political economy.

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)0.018
metaresearch head score (Gemma)0.023
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0340.095
Scholarly communication0.0190.012
Open science0.0020.013
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0040.000

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 head0.111
GPT teacher head0.387
Teacher spread0.275 · 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

Citations55
Published2007
Admission routes1
Has abstractyes

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