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Record W3184854143 · doi:10.1017/9781108490528.006

The Coffee House Movement

2020· other· en· W3184854143 on OpenAlexaff
Kristin Plys

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMovement (music)ArtUrduGeographyLiteratureAesthetics

Abstract

fetched live from OpenAlex

The burden of the night still weighs us down The eye and heart are still not free Press on, for the destination is yet to be reached —Faiz Ahmed Faiz, Subah-e-Azadi (trans. from Urdu) The major theoretical and political problem of totalitarian rule is that it is difficult to create a mass movement against a totalitarian regime given severe repression of dissent. When totalitarian rule supplants democratic governance, resistance becomes most severely constrained, but also most necessary. In this context, non-violent forms of resistance, epitomised by the tactics of figures such as Mohandas Gandhi or Martin Luther King Jr, are quickly repressed, so opposition movements need to adopt other strategies. In other totalitarian contexts, such as Nazi Germany or Mussolini's Italy, the café became an important resource for movements against the state. First of all, the café was a place to escape the loneliness of life under totalitarian rule (Bronner and Kellner 1982: 97) and allowed people to come together in a public space that was not subject to state surveillance and control (Kohn 2003: 16). In Italy, cooperative cafés were even more suited to the task of fomenting resistance against totalitarian rule in that they are both an economic tactic and sociopolitical space (Kohn 2003: 71). These types of cafés, like the Indian Coffee House at Connaught Place, for example, became autonomous zones that fostered resistance against the totalitarian state. An autonomous zone is ‘a guerrilla operation which liberates an area (of land, of time, of imagination) and then dissolves itself before the state can crush it’ (Bey 1985: 95). In other words, an autonomous zone creates an area which is separate from state and capital in which revolution and resistance is not only possible but also encouraged. Or as Saul Newman writes, Rather than seeking to take over state power, or to participate in state institutions at the level of parliamentary politics, many contemporary actors and movements endeavour to create autonomous spaces, social practices and relations, whether through the permanent or temporary occupation of physical spaces—squats, community centres and cooperatives, workplace occupations, mass demonstrations and convergences—or through the experimentation with practices such decentralised decision-making, direct action or even alternative forms of economic exchange which are not striated, conditioned or ‘captured’ by statist and capitalist modes of organisation. (Newman 2011: 345)

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.378
Threshold uncertainty score0.887

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0090.005
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.3780.281

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 head0.021
GPT teacher head0.178
Teacher spread0.157 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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Same topicIndian Economic and Social DevelopmentFrench-language works237,207