Overcoming the unseen: Understanding diverse Canadian workers’ well-being during the beginning of the coronavirus pandemic
Notice bibliographique
Résumé
Canadian workers were severely affected by the onset of the coronavirus (COVID-19) pandemic. The rapid spread of the pathogen across Canada resulted in several work-related consequences (e.g., temporary/indefinite layoffs and business closures, mandatory working-from-home) that could have impacted workers’ well-being during this turbulent period. Research available at the start of this dissertation process, and even more recently published studies, primarily explored general trends in workers’ negative well-being during COVID-19, not examining the distinct realities that diverse workers, including more marginalized ones, may have experienced. Across three manuscripts, several theories from diverse disciplines (positive, developmental, community, and industrial-organizational psychology, public health) were married with the objective of exploring diverse workers’ holistic well-being during pandemics and epidemics and the beginning of COVID-19. Informing Manuscripts 2 and 3, Manuscript 1 (via a scoping review including 187 studies) found that positive well-being was experienced frequently or at moderately high levels, and work-related well-being was experienced highly during pandemics and epidemics. Negative well-being was mild to moderate during SARS and COVID-19 but high during other pandemics and epidemics. In Manuscript 2 (using latent profile analysis; N = 510), we found the presence of five distinct well-being realities (moderately prospering, prospering, moderately suffering, suffering, mixed) that Canadian workers experienced during May of 2020 across negative and positive general life and work well-being indicators. Most workers were flourishing to some degree. In Manuscript 3 (using latent trajectory analysis; N = 648), we found that Canadian workers had varying levels of well-being at the onset of COVID-19. Whereas negative well-being improved over time or stayed stagnant, positive well-being worsened or stayed stagnant between March and May of 2020. Most workers were found to be in prospering trajectories. Several factors at distinct ecological levels (self, social, workplace, pandemic) were related to workers’ well-being (Manuscript 1) or predicted membership to well-being profiles (Manuscript 2) and trajectories (Manuscript 3). Several implications for researchers and nonacademic stakeholders (e.g., employers, mental health organizations, policymakers) are discussed.
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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 | 0,009 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,011 | 0,005 |
| Communication savante | 0,010 | 0,004 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».