Bibliographic record
Abstract
ATTAC is a network of international twin organizations that opposes the neo-liberal globalization aiming at pledging essential rights for everybody. On this basis, the local branch of ATTAC in Argentina was investigated in order to understand “if” and “how” its interconnections with other political and social movement organizations are helpful in building an effective national political strategy and which could contribute to the pan-American one. The local branch of ATTAC-Quebec was also previously investigated and a South-to-North continuity-line might be traced that connects the two organizations. Participant observation and qualitative network interviews were employed in Argentina. The multiple political membership approach inspired the research while the social network analysis was developed through eight interviews with ATTAC militants. Among others, the militants were asked which other groups and organizations they were simultaneously associated with, and the network available was also qualitatively discussed further. In the fieldwork it was noticed that ATTAC-Argentina does not count so many activists. However, the Argentinean and Canadian militants also suggest that “number doesn’t matter”. In fact, someone noticed that the strength and the political effectiveness of the two organizations is represented by the network available to them. In other words, the data describe ATTAC-Argentina as a group that can count on a solid network of left-wing organizations through the militants’ political grid. This grid combined with the solid network of organizations on the pan-American scale represents an effective political option for the Latin-American branch of ATTAC for the present and the time to come.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".