Pollinators and the Global Crisis: Understanding the Importance, Impacts and Threats to Pollination Systems
Bibliographic record
Abstract
Pollinators are essential to the global economy, the wellbeing of humans, and are indispensable when it comes to maintaining food security for all humans. The ongoing decline of pollinators has led to a crisis that is being driven by anthropogenic threats. This portfolio examines pollinators and threats to pollinating systems through two bodies of work; a literature review and a research study. The literature review of previously published pollinator decline research displays \na trend of study on agricultural systems and managed honey bees (Apis mellifera). Most research examining pollinator decline has focused on pesticides, agriculture and managed honey bees; in addition, most research was also focused in the global North. The research study portion of this portfolio examines the impacts of managed honey bees on wild bees in the city of Toronto. Honey bees were shown to impact the abundance of wild bees in urban landscapes. Increased abundance of honey bees in the city was also shown to impact the body size of certain groups of bees, Xylocopa, which proves that these managed bees compete over floral resources with native wild bees.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.061 | 0.008 |
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".