Notice bibliographique
Résumé
Demographic change has had major impacts on Canadian society in the postwar period. From maternity wards through all levels of the education system, into housing markets, auto sales and the stock market, the aging of the massive 10 million-strong Boomer generation (born from 1947 to 1966) has left indelible marks. After the Boom came the Bust. Maternity wards and schools emptied, house prices crashed, and auto sales sagged as the Boom generation was replaced by the smaller Bust generation (born from 1967 to 1979) moving through these stages of their lives. Even the return on education is affected by these demographic trends. Today twentysomethings are in short supply and increasingly command higher salaries and signing bonuses in the new economy. Consequently the return on their education will be higher than it has been for the Generation Xers from the later part of the Boom, who were in abundant supply over the 1980s and early 1990s and are now in their mid to late thirties. Over the past twenty years, the cycle reversed as the Echo generation -the children of the Boomers (born from 1980 to 1995) -made their entry through the maternity wards and into elementary and secondary schools. Now tweens and teenagers, their impact can be seen in many sectors, from rising movie attendance to rising transit ridership. This growing teenage market is increasingly capturing the attention of marketing experts throughout North America. By the 1990s the Boomers were becoming too old to start families and, once again, births declined. Not surprisingly, maternity wards emptied and by the late 1990s school closings were commonplace in many districts. Whereas the Boom and Bust profile was widespread over the entire country, the Echo has been more selective in its geographical boundaries, located primarily in Canada’s urban (including suburban) areas and western provinces (plus Ontario). This has resulted in a diversity of educational trends in the provinces over the past two decades, trends that portend new challenges for education in the new millennium. In summary, demographic change encompasses both the movement of generations through their life course and the movement of people across geographic boundaries. Over the postwar period, these demographic movements have presented all governments with major funding and planning challenges, resulting in a myriad of responses. What lies ahead? Are there clues to the future challenges posed by demographic change in our history? What might be some appropriate responses?
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,006 |
| Études des sciences et des technologies | 0,007 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,061 | 0,006 |
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 ».