Climatology of transport in the Strait of Belle Isle
Bibliographic record
Abstract
Seasonal and inter-annual variability of transport in the Strait of Belle Isle (SBI) were examined using 14 years of moored ADCP data. Tidal currents were largely along strait and homogeneous with depth. Transports were inwards on average, lowest (−1.0±0.8 dSv) from April to July, and highest (−4.1±1.1 dSv) from September to January. Monthly scale outflow towards the Labrador Shelf was more than twice as common between April and August than between September and March. Averaged seasonal transports were generally lower but within one standard deviation of previously published modelled values. The volume of winter Labrador Shelf water (LShW) entering the Gulf of St. Lawrence (GSL) was computed by transport integration and compares well with integrated volumes that meet LShW temperature-salinity criteria during an annual March survey of the GSL. Integrating over the whole year showed that on average 590±351 km3 enters the GSL after the March surveys are conducted, or 36±19% of the total LShW volume. Annual volumes of LShW calculated from transport suggest that inflow through the SBI accounts for 12–18% of the GSL winter surface mixed layer. Cross-strait current shear may have affected transport integration values, but SST data suggests this bias was limited to the summer. Corrections were empirically derived to account for cross strait shear in our transport calculation. The corrected time series suggests dominant summer transport may have been flowing towards the Labrador Shelf (0.4 ± 0.6 dSv).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".