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Record W35233532 · doi:10.1093/texcom/tgac006

Interpreting the taking vs. creating power dichotomy : A case study of the Argentinean labour movement CTA and the Constituyente Social

2009· article· en· W35233532 on OpenAlexaboutno aff
Carolina E. González

Bibliographic record

VenueCerebral Cortex Communications · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Economic Solidarity
Canadian institutionsnot available
FundersMax-Planck-GesellschaftDeutsche Forschungsgemeinschaft
KeywordsPower (physics)Movement (music)Process (computing)Political scienceSociologyEconomyEconomicsPhilosophyComputer scienceAesthetics

Abstract

fetched live from OpenAlex

This is a case study of the alternative labour union organization Central de Trabajadores de la Argentina (CTA) in Argentina and the most recent project under process striving for system change, named the Constituyente Social. The case under study is used to illustrate the perception of power in relation to aspirations for societal change among the left in Latin America. The overall struggle of the CTA and the Constituyente Social is to create a more just society based on a deepening of democracy, more participatory in character. Two understandings of power are presented, on the one hand is the taking power concept, inherited from the political struggles where the belief is that power needs to be taken from the elite in order to succeed with structural change in society. On the other hand is the creating power perception, best exemplified with the Zapatista movement in Mexico. There is no conquering of power in this view, but a creation and strengthening of power among the masses. The theoretical chapter presents a view that unites these two perceptions, arguing for the need to intersect the vertical (power taking) and the horizontal (power creating) struggles. The Constituyente Social is analyzed in relation to this intersection, providing concrete examples of where the two power perceptions are utilized, sometimes simultaneously. The overall conclusion is that the dichotomization usually done between the two understandings of power is incomplete and may even damage the struggle for societal change.

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)0.000
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.329
Teacher spread0.293 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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