How free access internet resources benefit biodiversity and conservation research: Trinidad and Tobago's endemic plants and their conservation status
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Botanists have been urged to help assess the conservation status of all known plant species. For resource-poor and biodiversity-rich countries such assessments are scarce because of a lack of, and access to, information. However, the wide range of biodiversity and geographical resources that are now freely available on the internet, together with local herbarium data, can provide sufficient information to assess the conservation status of plants. Such resources were used to review the vascular plant species endemic to Trinidad and Tobago and to assess their conservation status. Fifty-nine species were found to be endemic, much lower than previously stated. Using the IUCN Red List criteria 18 endemic species were assessed as Critically Endangered, 16 as Endangered, 15 as Vulnerable, three as Near Threatened, and three as Data Deficient (i.e. insufficient data are available to assess their conservation status). Although such rapid assessments cannot replace in depth research, they provide essential baseline information to target research and conservation priorities and identify specific conservation actions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it