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Record W2918720383

Project or Program? Prefigurative Politics, Folk Politics and the Struggle for Change

2017· article· en· W2918720383 on OpenAlexaboutno aff
Benjamin M. Anderson

Bibliographic record

VenueSummit (Simon Fraser University) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPolitical scienceSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Recent political campaigns within the mainstream and social democratic left have been billed (both by themselves and others) as 'revolutionary'.From Podemos to Bernie Sanders' so-called 'political revolution,' grassroots movements have mobilised the imagery and rhetoric of collective liberation, bottom-up decision-making, and opposition to the status quo.This political development, which evokes a certain reform-versus-revolution synthesis, stands in stark contrast to the operational logics - namely those of refusal, flight, and experimentation with new forms of social organisation - of autonomous and prefigurative anti-capitalist (or at least counter-neoliberal) social movements of the last two decades, from Quebec's Maple Spring to Occupy Wall Street and beyond.In this essay, I will attempt to tease out some of the tensions as well as commonalities between these prefigurative projects, and the coordinated policy and cultural programs proposed by proponents of less horizontal forms of political organising.The first stage of this inquiry will probe the anti-power, anti-hegemonic principles that guide much of the discourse that characterises these modes of political intervention and social production.This is followed by a discussion of the limits, especially in terms of reach and mass, that are thought to undermine these prefigurative strategies.Finally, these limits will be weighed against recent calls for organised programs of political plurality based on coordinated efforts at both the cultural and policy level.Before starting down this line of inquiry, however, I would like to introduce two terms that I will utilise throughout this paper to designate each of these political streams: project and program.The term project, in this instance, is intended to encapsulate the experimental, self-generated character of many movements of autonomy.It is intended to emphasise their common underlying goal of the active creation of alternatives.By contrast, the term program is used throughout in relation to coordinated efforts to bring these political projects into closer connection with pre-existing policy and cultural goals.The political program, in this sense, is a compound movement of social production and political organisation that reaches beyond strategies of refusal and attempts to intervene at many points throughout the socio-political landscape, whereas the project stands out as the generation and rearticulation of alternatives in practice.It will be my goal in the pages that follow to clarify this contrast while simultaneously finding points of agreement and harmony that assist in promoting negotiation and coordination between these two strategic positions.To begin, let's consider some of the underlying principles and characteristics of the prefigurative project.First, the prefigurative experiments of the past two decades - the global justice mobilisations of the late 1990s, the 2010 UK tuition protests, Occupy Wall Street, Hong Kong's Umbrella Revolution, or more recently, the 2017 campus occupations and student strikes in Puerto Rico - were highly participatory mobilisations from below, often coordinated outside of bureaucratic structures, and generally including some alternative or open form of outreach and narrative framing

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)0.006
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.102
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.051
Scholarly communication0.0120.006
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.051
GPT teacher head0.306
Teacher spread0.256 · 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
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

Citations0
Published2017
Admission routes1
Has abstractyes

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