Notice bibliographique
Résumé
The predictions in the media and from think tanks sound altogether alarming: Saskatchewan, with its booming economy, could be facing a worker shortage so severe that it could drastically hobble the province’s ultimate economic potential. While the world craves only more of Saskatchewan’s abundant natural resources, the province won’t possibly be able to keep up, due to a scarcity of workers that could be as significant as one-fifth of the labour supply by 2020. The Saskatchewan government has rushed to analyze the predicament, issuing reports that urgently seek solutions. But it hasn’t really developed any solutions. In fact, it hasn’t done much about the supposedly looming crisis at all. And that, actually, might just be all it can — and should — do. In truth, Saskatchewan can’t be sure it will be facing a serious shortage, or any shortage, at all. And any attempt by the provincial government to substantially intervene in the labour market could cause more problems for employers and the economy, than it addresses. Saskatchewan’s labour market has already shown a remarkable ability to adjust, on its own, to the commodities boom, and what employers today call a shortage, could well just be everyone getting used to a much tighter, but still very functional, labour market. The province’s lack of action did mean it missed a once-in-a-lifetime opportunity to redirect a huge cohort of Gen-Y students into training for trades that are in high demand (that cohort is already in its mid-20s and finished, or finishing, its career training). That was a mistake. But one big thing the Saskatchewan government can still do to help employers — and workers — is to stop making the strains on labour worse by launching imminent public infrastructure projects that compete with the private sector for labour. Instead, the province should plan those for when the boom slows down and workers need the jobs. It should also abandon any ideas of ramping up the import of temporary foreign workers to fill short-term job vacancies: those workers have a way of dampening wage signals that would draw more permanent, and therefore desirable, workers to the province. What few things the province could be actively doing, it should do anyway. It should help retrain workers with skills in low-demand for jobs in higher demand. It should recruit migrants from other provinces and overseas to settle in Saskatchewan. It should carefully review its post-secondary education system to minimize drop-out rates from apprenticeship programs and to ensure it is training people to match the economy’s demands. And it should be finding ways to mobilize large portions of the population that could be working, yet aren’t, including underemployed males and Aboriginals, but also the elderly and disabled. If there is, indeed, a shortage somewhere in Saskatchewan’s future, having those people working can only help. But even if there is never a shortage, having large pools of potential labour sitting idle is something that will truly limit Saskatchewan’s economic potential.
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) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,008 | 0,002 |
| Communication savante | 0,004 | 0,001 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,003 |
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 ».