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 The breakup of ice in Canadian rivers and the ensuing ice jams have a multitude of socio‐economic impacts. Equally important, but not as well understood, is the strong relationship between the breakup event and the aquatic ecosystem in terms of both habitat and life cycle. Because breakup processes are highly sensitive to weather conditions, there is concern over the potential effects of changing climatic patterns on the ice‐jam regime and thus on the stream ecology and local economy. Though breakup commonly occurs in the spring, it is occasionally triggered by mid‐winter ‘thaws’, which are typical of the more temperate regions of Canada. Mid‐winter jams can be more destructive than spring ones and may also have repercussions on the spring event. Current knowledge suggests that small perturbations in winter temperature can produce major changes in the incidence of breakup and ice jams, by altering snowstorms into rainfall events. This expectation is confirmed by a hydroclimatic analysis of field observations and historical data on the upper reach of the Saint John River, which forms the boundary between New Brunswick, Canada and Maine, USA. A slight warming in the past 80 years has been accompanied by a considerable increase in the occurrence of mild winter days, thus contributing to increasing rainfall amounts. This results in augmented flows during the winter, which are lately becoming capable of effecting breakup of the river‐ice cover. Implications for future trends in the ice regime of the Saint John River and of other Canadian rivers are discussed. Copyright © 2002 John Wiley & Sons, Ltd.
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) | 0.003 | 0.001 |
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