An exploration of the impacts of Covid-19 on the work of conservation actors in Trinidad and Tobago
Bibliographic record
Abstract
Abstract The Covid-19 pandemic has had global impacts, leading to changes in human activities and resulting in both positive and negative outcomes for the natural environment. To more fully understand the pandemic’s impact on the conservation of ecosystems and conservation actors or organizations, this research investigated its impact on the Caribbean island nation of Trinidad and Tobago. Data were collected through an online questionnaire and targeted follow up semi-structured interviews. The results showed that the pandemic led to many challenges for some actors, including job loss and cancellation of fieldwork and outreach events. More positively, there were opportunities for some actors to adapt or find new modes of operation, which unexpectedly made some of them more effective at achieving their goals. The results also suggest that the impacts of the pandemic on ecosystems were both positive and negative. On the positive side, curfews and lockdowns restricted access to natural areas, resulting in benefits such as ecosystem recovery. More negatively, there were issues associated with spikes in illegal activities such as poaching and squatting in protected areas. Respondents suggested that better access to funding and local government support would have helped conservation actors be in a better position to adapt to the changes brought about by the pandemic. The results of this research provide much needed insight into how the Covid-19 pandemic is and will continue to impact conservation actors and their initiatives. Further studies can build on this research to explore the impact of pandemics on conservation in the long term.
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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".