Environmental and Social Management of Seismic Operations in Sensitive Tropical Rainforest
Bibliographic record
Abstract
Abstract The remaining on-shore petroleum reserves in Ecuador are located within culturally and environmentally sensitive areas of the lowland tropical rainforest at the headwaters of the Amazon Basin, including protected nature reserves and indigenous communities. Regulatory obligations and stakeholder concerns require an extensive formal and informal consultation process prior to petroleum activities in these areas. EnCana and Walsh Environmental Scientists and Engineers (WALSH) have used the first phase of petroleum development in Yasuni National Park (YNP), seismic exploration, to gain the trust and confidence of a diverse group of stakeholders, by adopting an innovative set of new best practices, transparent dialogue and direct participation of the stakeholders. The result of this consultation process was a modified project design and the EMP (Environmental Management Plan) that restricted heliports to previously intervened areas; restricted flight paths of helicopters away from scientific research stations, restricted use of rivers; and created offsets from sensitive micro-habitats like clay/salt licks, animal bathing areas, and tree-cutter ant farms. The execution of the project was closely monitored and audited by EnCana, WALSH, the affected Communities, an independent Environmental and Social Scientific Advisory Committee (ESSAC), an independent auditing consultant associated with the most respected environmental Non-Governmental Organization (NGO) in Ecuador, the Ministries of Environment, Energy and Mines and the National Heritage Institute of the Ecuadorian government. This participatory approach during seismic exploration has facilitated acceptance for the current exploratory drilling activities in this highly sensitive area.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".