¡Así encendimos la mecha!. Treinta años del levantamiento indígena en Ecuador: una historia permanente
Bibliographic record
Abstract
En este 2020 se cumplen treinta años del primer levantamiento indígena ocurrido en junio de 1990. Su conmemoración está signada por otro levantamiento, el noveno, ocurrido en octubre de 2019. Una de las ideas extendidas hasta antes de octubre, era que el movimiento indígena atravesaba una crisis estructural de largo alcance. Luego de octubre se volvió a ubicar al movimiento indígena en el centro de la lucha político-social del país. Floresmilo Simbaña, Nina Pacari, Inti Cartuche, Ampam Karakras, Inés Zambrano, Luz María Romero, Adriana Rodríguez, Dolores Figueroa, Marco León, Ileana Almeida (en entrevista con Philipp Altmann), Ruth Moya (en entrevista con Luis Herrera y Adriana Rodríguez) y Marc Becker, analizan el proceso, memoria y avances del movimiento indígena. Retoman y discuten el proceso histórico del sujeto político que ha influido de manera significativa en los últimos treinta años de la vida del Ecuador.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".