Rethinking Stratification in Post-Secondary Education: Organizationally Maintained Inequality
Notice bibliographique
Résumé
Decades ago, Boudon theorized that highly differentiated education systems would generate higher degrees of inequality than would more homogenous counterparts. In highly differentiated systems, at each point where students were afforded the freedom to select among institutions, Boudon believed that family-based knowledge and capital would produce stratified choices. The presence of differentiation would ensure that students from different SES backgrounds would be distributed in a non-random fashion across education systems. Contemporary theories of stratification within the sociology of education have astutely examined the role played by differentiation. Theories of effectively maintained inequality (EMI) and maximally maintained inequality (MMI) have led the way in this respect. MMI, for example, has theorized the role played by credential levels, depicting privileged students as migrating towards progressively higher credential tiers, and the organizations that service them. The EMI tradition, on the other hand, points to differences in organizational prestige, noting that privileged students migrate to the elite schools within any credential tier. Both theories highlight important dimensions of the hierarchical structure of education and how they can inform our understanding of how individual level stratification occurs through them. That being said, these theories focus only on two basic dimensions of organizational differentiation. They also tend to focus only on differentiation as it occurs within the university sector. In this dissertation I bring stratification research into conversation with organizational theory in the hopes of developing a more sophisticated and holistic understanding of differentiation, and thus, social stratification through PSE. I draw on insights from organizational theories to argue that, beyond credential tiers and prestige, PSE organizations are differentiated by the type of relationships (‘stratified connections’) they share with their surrounding environments, organizational networks and organizational sagas. I demonstrate that these often ignored mechanisms actively magnify organizational inequalities that exist within and across sectors of PSE. I adopt a mixed methodological approach for this dissertation. To examine organizational relationships with external environments, I draw upon sources documenting the characteristics of economic regions, as well as institutional data on program offerings and organizational structures. To examine organizational networks, I use a qualitative comparison of affiliation data, association documents and interviews. Lastly, to examine disparities in organizational sagas and symbols, I examine promotional materials available on institutional websites as well as other official documents. Such a versatile approach is needed given both the diverse group of questions I explore and the scope of my analysis. Addressing all sectors of Ontario PSE forces me to creatively overcome numerous data deficiencies.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,104 | 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 ».