The need for interdisciplinary solutions to climate change exemplified by harmful algal blooms
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
It is generally understood that climate change is both a threat to health and a complex problem that requires accordingly complex solutions. In this commentary piece, I discuss the causes for and health implications of harmful algal blooms (HABs). I describe the effects that these blooms have on communities across Canada, especially in the Northern regions with particular focus on Indigenous communities who experience disproportionate harms due to HABs. I then examine Arctic Canada as a case study to motivate an interdisciplinary approach to understanding HABs which spans disciplines and knowledge systems. In doing this, I hope to illustrate the point that the causes and effects of HABs pose a problem too large to adequately address through any one field of study because of the complex and nebulous factors involved. Thus, the examination of this problem through alternative disciplines, ways of thinking, and world views, otherwise known as a “One Health”, collaborative, or trans-disciplinary approach, is warranted.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.018 |
| 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