Richard Cooke: archeology and academic divulgation in Panama
Bibliographic record
Abstract
The diffusion of archaeology in Panama has been carried out through different media such as newspapers, magazines, television, internet, museums, and archaeological sites, interpretation centers among others, which have been strongly permeated by ideological discourses typical of the political and social context. Dr. Cooke has acted as promoter and disseminator of Panamanian archaeology since 1972. His initiatives link archaeological issues such as early settlement and the dispersion of human groups on the isthmus, the emergence of social inequality, the Pre-Columbian subsistence economy with current problems, all transversal to social and biological sciences such as the exploitation of marine and terrestrial ecosystems, the impact of human groups on these ecosystems, the appropriation of Panamanian archaeological heritage and the cultural continuity demonstrated by molecular genetics. It is the purpose of this article, therefore, to take a non-exhaustive historical journey through the informative experiences of Dr. Cooke not only in the academic field but above all for non-archaeologists. This article is a way to recognize Dr. Cooke’s career and highlight his work in public archeology. The informative experiences of Dr. Cooke will allow us to reflect on the current practices of spreading of in Panama and by extension in Latin America.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.016 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".