Notice bibliographique
Résumé
Healthy fish populations are critical to healthy ecosystems: they feed communities, support economies and are essential to our survival. But our oceans are facing growing threats and greater uncertainty. Overfishing, climate change, habitat destruction and pollution are degrading the underwater world and putting the marine life we all depend upon at risk. Much is at stake, as the status quo is demonstrably not working. The number of stocks in the healthy zone has decreased since Oceana Canada released its 2018 Fishery Audit, and the number in the critical zone has increased — including crab and shrimp stocks. This isparticularly worrying if the depletion of crustaceans becomes a trend, as the value of Canada’s seafood industry depends heavily on them. Progress on implementing rebuilding plans remains slow and many critically depleted stocks, including northern cod, are still without a plan. As well, Fisheries and Oceans Canada (DFO) has not yet indicated how and by when it will collect adequate catch monitoring information, needed to measure and manage bycatch (the incidental catch of non-target fish) in all Canadian commercial fisheries. Meanwhile, only two of the 11 recommendations from the 2018 Fishery Audit have been implemented. DFO has made some progress since the last Fishery Audit was released. In 2019, DFO published more information to help assess fish stock health, and some elements of fishery monitoring became more transparent. DFO also implemented some of the recommendations from the 2016 Auditor General report on sustainable fisheries, including developing timelines and priorities for rebuilding plans for depleted fish populations. Most importantly, a modernized Fisheries Act became law in June 2019. For the first time in the Act’s history, rebuilding plans are now required for depleted fish populations. The government has committed more than $100 million over five years to assess and rebuild fish stocks. This brings Canada into the group of nations with modern fisheries laws and could signal a historic turning point in the health of Canadian fisheries. The impact of the new Act will depend on the strength and pace of regulations, currently under development. The regulations will outline what rebuilding plans must include, and Oceana Canada is advocating that, at a minimum, they should specify a timeline and target, aimed at rebuilding stocks to healthy levels. In the year ahead, the federal government must develop strong and effective regulations to support the rebuilding provisions in the Fisheries Act and accelerate the implementation and enforcement of existing policies. Fortunately, there is a strong base of support for new regulations to rebuild stocks, new funding commitments and much-needed increases in DFO’s science capacity to get the job done. We have the tools needed to modernize Canada’s approach to fisheries management and rebuild fish populations, and Canadians want to see this happen. In a recent Abacus Data market research survey, 98 per cent of Canadians said it was important that the federal government work to rebuild abundant fish populations. If the government fails to take these actions, we can expect the number of healthy stocks to continue to decline and depleted populations will fail to recover, impoverishing the oceans and the coastal communities who depend on them.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,005 | 0,004 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,235 | 0,124 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».