Ecuador Extractive Imperative and the ITT Initiative
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Ecuador, following the late 2000’s commodity boom, a populist government invested increased oil revenues into social spending, reducing inequality, and gaining a rare period of political stability. The Yasuní National Park has been the focal point of this dynamic since 2006 when the government endorsed a ground-breaking plan to protect the park called the Yasuni ITT initiative. The initiative’s demise in 2013 raises the question: what explains the government’s initial support of, and then rejection of the ITT initiative? Upon combining the theories of extractive imperative and limited access order, this paper’s thesis is that, given Ecuador’s choice to fund public services through extractive industry rents, reducing extractive industry rents through constraining extractive industries is too painful politically. These theories help to structure a narrative, producing insights into the political dynamic impacting the ITT initiative and its eventual collapse. This thesis pursues its investigation through a case study of Yasuní National Park.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it