Extracting the Truth: How Coexisting with the Black Gold Reshapes Lives and Livelihoods in 21st Century Colombia
Bibliographic record
Abstract
There have been many pitfalls resultant from our current civilization’s dependence on oil and gas, though none has been more ignored than the impacts of hydrocarbon production on our fellow human beings. This thesis has three primary aims: (1) to make clear the theoretical frameworks that have led these human impacts to be ignored, including Resource Curse Theory, and to propose Political Ecology as a new framework for understanding the challenges that resource extraction levies on individuals and communities; (2) to detail, document, and highlight the widespread, complex, and generative impacts that resource extraction itself produces in order to begin seeking real solutions; and (3) to bring to the fore the struggles of the Colombian people in relation to hydrocarbon production and resource extraction. As shall be seen, Colombia is a unique though entirely ignored case study of rapidly expanding hydrocarbon production. While thought to be a ‘success’ in the eyes of many, this thesis shows the true nature of oil and gas production by focusing in on the deep structural changes that the southern community of Puerto Gaitan has endured since the arrival of Canadian oil company Pacific Rubiales, and explaining how these deeper problems are reproduced in other extractive areas across Latin America and the world.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".