SUFB 498: Government Of Canada Prioritizing Right Whale Protection Over Fishing Community?
Bibliographic record
Abstract
Last year, the North Atlantic Right Whale population lost 19 individuals in the US and Canada due to ship strikes and/or fish gear entanglement. It was a surprise in Canada as Right Whales sightings were rare in the Gulf of St. Lawrence; however, with Climate Change heating up the sea, many species northern boundaries are expanding. The Government of Canada took some major initiatives to stop the deaths of the endangered whales as they decreased ship speed in the Gulf and closed down certain fishing areas in the Spring of 2018. There hasn't been a reported death of Right Whales this Spring yet, which leads us to believe the restrictions by the Government of Canada are working. Unfortunately, the fishing community in the areas where fishing has been closed during these times are not happy. They say it's going to affect their revenue for the year without any compensation.In this episode, I ask you if we should be prioritizing the protection of whales over fishing communities and whether that is a viable long-term strategy?Source:1) Efforts To Protect Northern Right Whale Working2) Right Whale forces Canadian island to ban fishingEnjoy the Podcast!!!Donate to the Jairo Mora Sandoval Bravery Award to Fund 5 more brave Marine ConservationistsBecome par to the Speak Up For Blue Nation by joining our Patreon Campaign. I would love to hear your opinion on this episode. Join the Facebook Group to chime in.Do you know we launched more Ocean Related Podcasts?Subscribe to Marine Conservation Happy Hour and ConCiencia Azul
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 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 teacher head, 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".