Endangered species lack research on the outcomes of conservation action
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 Given widespread biodiversity declines, there is an urgent need to ensure that conservation interventions are working. Yet, evidence regarding the effectiveness of conservation actions is often lacking. Using a case study of 209 terrestrial species listed as Endangered in Canada, we conducted a literature review to collate the evidence base on conservation actions to: (1) explore the outcomes of actions documented for each species and (2) identify knowledge gaps. Action‐oriented research constituted only 2% of all peer‐reviewed literature across target species, and for 61% of species, we found no literature investigating outcomes of conservation actions. Protected areas, habitat creation, artificial shelter, and alternative farming practices were broadly beneficial for most species for which these actions were assessed. Habitat restoration actions were most frequently studied, but 38% of these actions were harmful, ineffective, or demonstrated mixed results. The effectiveness of prescribed burns, alternative timber harvesting approaches, and vegetation control was examined for the greatest number of species, yet 17%–30% of these actions demonstrated negative effects. Our synthesis demonstrates a lack of published evidence for many actions implemented for the recovery of species at risk of extinction, highlighting an alarming gap in the conservation literature.
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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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