Examining how former Employment Ontario Second Career participants perceive the phenomenon of meaningful employment
Notice bibliographique
Résumé
Evidence has shown that one can have meaningful work but not be meaningfully employed. Meaningful work (work that provides social value) and meaningful employment (the conditions of employment) are often conflated in the workforce development sector; however, while related, these concepts are distinct. This thesis examines how former Second Career participants who have engaged in Employment Ontario’s (EO) academic retraining initiatives perceive the phenomenon of meaningful employment. Former Second Career participants were chosen for this study because the Second Career program (a government policy intervention) claimed to help recipients find stable, meaningful employment. However, there is a lack of clarity on what meaningful employment constitutes. This thesis, therefore, argues that the conflation between meaningful work and meaningful employment serves the interests of neoliberal institutions, hence abdicating their responsibility for providing robust worker protections. Furthermore, this conflation ultimately undermines the interests of workers—specifically low-wage workers. The research utilizes the tenets of intersectionality and counternarratives within critical race theory (CRT) and draws on interviews with ten former Second Career participants. As a Christian researcher, I also highlighted the debates between CRT and Christian social justice to demonstrate the commonalities and nuances they offer in evaluating and addressing systemic injustice. These interviews were, however, solely analyzed from a CRT lens in accordance with the interpretive phenomenological design adopted for this study. The participants’ accounts reveal that present-day socioeconomic and political issues have influenced their understanding of meaningful employment. For instance, their experiences illustrate how living at the convergence of multiple intersecting identities (e.g., race, class, language, gender, citizenship, etc.) amplify systemic marginalization in a racialized labour market. Additionally, this research also counters the normative view that academic upgrading, adequate skills and hard work are a definitive pathway to achieving meaningful employment. Overall, this thesis highlights the importance of examining whose interests are served by the conflation of meaningful work and meaningful employment. The concealment of our deeper understanding of meaningful employment serves to alleviate the government’s responsibility for protecting all workers, thus further exacerbating labour market inequities. My hope is that this study will help to catalyze future theoretical development of this phenomenon to help critically assess the real needs and concerns of those most impacted by policy interventions. Additionally, this study contributes to the growth of research examining the perspectives of participants who have engaged in EO’s retraining initiatives.
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 | 0,007 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,014 | 0,012 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,001 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 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 ».