The Price of Knowledge: An Exploration of Student Demographics between Regulated and First-Degree Professional Programs in Ontario
Notice bibliographique
Résumé
In recent decades, we have seen various governing bodies reduce their economic support for the publicly funded post-secondary education (PSE) system in Canada. This trend is one of the neoliberal measures which seeks to reorganize the structures and distribution patterns of public goods and services. Through the process of neoliberalization, the lack of public financing has created a funding gap for universities and colleges, which has been increasingly filled by relying on private sources of funding, primarily in the form of tuition fees. This shift has led to a rapid increase, and at times, deregulation of PSE tuition fees. In 2006, tuition differentiation assigned professional programs higher tuition fees than regulated program, revealing a new, reconstructed version of tuition deregulation. \nThis study seeks to explore the differences between student demographics of first-degree (undergraduate) professional and regulated programs in Ontario. A secondary data analysis using the 2018 National Graduates Survey (NGS) is conducted. Logistic regression models are used to predict the likelihood of professional or regulated program enrollment controlling for social markers such as source of funding, race/ethnicity, SES, gender, etc. An analysis of student debt is also performed to investigate the management of large PSE student loans. Findings reveal that students from more privileged and affluent backgrounds are more likely to be enrolled in first-degree professional programs, both nationally and in Ontario. The odds of enrollment for professional programs are higher for self-funded (not relying on student loans), non-racialized, Canadian-born-citizens, males, with high levels of parental education in Ontario. Additionally, students from marginalized groups are more likely to accrue high levels of student debt ($25,000 or more), take longer to repay their loans, and struggle with debt repayment. There is evidence to suggest that tuition differentiation may be functioning as an exclusionary policy that reproduces social inequities and class disparities. First-degree professional programs, which have higher tuition fees than regulated programs, are largely populated with students from affluent backgrounds. \nWhen examined cumulatively, these findings have implications for PSE policy and the \nability of PSE to function as a great equalizer. Since professional programs tend to lead to more affluent employment positions and higher wages, the cycle of economic marginalization may be reproducing itself through PSE.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,004 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».