Human Dimensions: The Latin America and the Caribbean Chapter of ESA. Embracing Our Diversity During Adverse Times
Bibliographic record
Abstract
The Latin American Chapter was born in 2015 during the centennial meeting of the Ecological Society of America (ESA) in Baltimore, Maryland, as an initiative of the former Mexican and South American Chapters of ESA to integrate ESA members with interest and/or working on ecological issues in Latin American and Caribbean countries (Cruz Maysonet et al. 2016).In the last general meeting of our chapter, at the first fully online ESA annual meeting in 2020, our members decided to explicitly include the Caribbean region in our chapter's name, as this region is part of the chapter's geographic scope.If approved by the ESA's council, which will take place in August 2021, our chapter will then be called the "Latin America and the Caribbean" (LAC) Chapter of ESA, one more step toward our core objective of embracing our diversity. Our storyThe LAC Chapter of ESA has been constantly growing in number of members since its creation during the centennial ESA Annual Meeting in 2015.The chapter started with 162 members and after five years of existence, the chapter has increased to 318 members from Latin America, the Caribbean, and the United States of America (as of December 2020).The chapter also counts with members from Australia, Canada, Finland, France, Spain, and Switzerland.Since its creation, the LAC Chapter has been present and engaged in activities during the ESA annual meetings.Five business meetings and mixers have been celebrated during annual meetings, where members of the chapter had the opportunity to meet each other, share ideas, discuss issues regarding the chapter, and elect board members.The LAC Chapter has also proposed and organized Symposia, Inspire sessions, and Organized Oral Sessions at several ESA annual meetings since the chapter's creation.In 2016, in Fort Lauderdale, Florida, USA, the LAC Chapter organized a Symposium entitled "Generalities and Specificities in Ecosystem Service Trade-Offs and Conservation Strategies: A Focus
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".