Restoration and rescue in an age of extinction: Translocation and reintroduction of insects and other arthropods
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 Translocation is the intentional movement of organisms for conservation purposes, including species reintroductions and augmentation of declining populations. There is growing interest in insect translocation, and our understanding of best practices is rapidly developing. Relative to vertebrates, which have been the foci of most translocation programmes, insects and other arthropods provide both distinctive challenges and under‐explored opportunities. This special issue of Insect Conservation and Diversity explores some of the insect translocation efforts taking place globally. The papers in this special issue include translocations at various stages of progress and across diverse taxa and geographic regions. They address many key topics in insect translocation, including the critical role of ex situ rearing and breeding, disease monitoring and control, landscape context and dispersal ability, post‐translocation monitoring and the human context of translocation programmes. The papers illustrate common challenges faced by insect translocation programmes and provide new solutions and approaches, ranging from technical methods for disease monitoring in captive populations to comprehensive frameworks for planning. The idiosyncrasies of individual translocation programmes and the need to prioritize management goals can present challenges to disseminating the results of translocation programmes in traditional scientific venues. Nonetheless, more consistent documentation and dissemination of translocation efforts and outcomes will be important to advance the field.
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