Working Better Together: Fisheries and Tourism in Newfoundland and Labrador
Notice bibliographique
Résumé
In Newfoundland and Labrador, as elsewhere, there is a strong but poorly acknowledged and poorly documented interdependence between the fisheries and tourism sectors. This interdependence is particularly strong in rural areas, including in fishing communities, where much of Newfoundland and Labrador’s tourism happens. Tourists want to consume local seafood, experience fisheries and fishing culture, and to meet people engaged in and knowledgeable about fisheries and the marine environment; local fisheries provide much of the seafood tourists eat, some members of fishing families work in the tourism sector, and fishing families are among the clientele who patronize local restaurants and hotels. Our rural communities are experiencing high rates of outmigration and rural populations are aging. The resources available to support economic development in rural areas, including in fisheries and tourism, are declining (as exemplified by recent cuts to Parks Canada and to support for the Regional Economic Development Boards). Employment in both fisheries and tourism is highly seasonal (particularly in rural areas) and some employers are finding it difficult to find appropriately skilled, local workers. Aging labour forces mean this challenge is likely to increase in the future. Both sectors are also very vulnerable to changes in global markets and to environmental and other changes. Unfortunately, from a policy and organizational perspective, Newfoundland and Labrador’s commercial fisheries and tourism industries have developed largely in isolation from each other. There has been no systematic effort to establish and promote synergies between the two sectors. As a result, there are potentially important missed opportunities for economic development that have the potential to create new business opportunities, strengthen existing businesses in both sectors, and to enhance the sustainability of both sectors as well as some rural communities and regions. On June 15, 2012, with support from the Rural Secretariat, the Community-University Research for Recovery Alliance at Memorial University (CURRA), the Harris Centre and the Newfoundland and Labrador Regional Economic Development Association (NLREDA) organized a multi-stakeholder workshop in St. John’s entitled Working Better Together: Fisheries and Tourism in Newfoundland and Labrador (See Appendix A for full program). The workshop used research done by the CURRA and insights from a multi-stakeholder panel to set the stage for facilitated small group discussions led by Ted Lomond from NLREDA and using the staff and facilitated discussion technology and expertise of the Rural Secretariat. Excellent support with organization and with the registration process was provided by Johan Joensen of the Harris Centre.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,006 | 0,002 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,016 | 0,001 |
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 ».