“DAMS” ON THE CANDELARIA
Bibliographic record
Abstract
Much has been learned from the basin of the Candelaria River, Campeche, Mexico: the fabric of a densely settled pre-Historic landscape, including impressive ceremonial centers; the logistics of an ancient entrepôt; the process of exploitation of dyewood and chicle in historic times; as well as the doubtful results of the mid-twentieth-century colonization of an “empty” forested basin. It also yielded the first evidence of more or less intensive pre-Hispanic wetland agriculture in the Maya region and the remains of a profuse network of fluvial transportation from prehistoric times to the present. This article presents recent evidence regarding the management of the river system itself by means of barriers, or “dams,” which facilitated agriculture in the wetlands upstream and extensive canoe travel. These structures seem to be elaborations or imitations of the numerous natural barriers already in the stream. Two models help explain context and function. It has become apparent that the human interventions into the wetlands and the river system are to be seen less as great attainments of civilization than as fairly desperate expedients in the face of climate change.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".