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Enregistrement W7043274186

Self-employment, health, illness, and social security among solo self-employed workers

2022· dissertation· en· W7043274186 sur OpenAlexaboutno aff

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2022
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueDigital Economy and Work Transformation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)Government (linguistics)Social securityWork (physics)PretextPopulation
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Today’s labour market has changed over time, shifting from full-time, secured, and standard employment relationships to entrepreneurial and precarious working arrangements. Thus, self-employment (SE) has been growing rapidly in recent decades due to globalization, automation, dramatic technological advances, the information revolution, and the recent rise of the ‘gig economy’. More than 60% of workers worldwide are in non-standard employment relationships; hence their employment positions are precarious. This precarity profoundly impacts workers’ health and well-being, undermining the comprehensiveness of social security systems, employment standards, and occupational health and safety policies. The general goal of this research was to focus on the circumstances of solo self-employed (SE’d) workers, investigating how they navigate, experience, and manage their injuries/illness in the context of their work.
\nTo explore this, this dissertation combines three findings’ manuscripts: (i) the first manuscript, based on a scoping review, critically reviewed the peer-reviewed literature focusing on advanced economies to understand how SE’d workers navigate, experience, or manage their injuries and illness when unable to work. The scoping review was a critical interpretive synthesis, following Dixon-Woods et al. (2006). (ii) The second manuscript considered how self-employed people access social support systems when they are not working due to injury and sickness in the two comparable countries of Canada and Australia. This comparative policy analysis adopted ‘interpretive policy analysis’ (Yanow, 2000), which involved analyzing public policies as a form of text or representation of social actions. (iii) Finally, the third manuscript examined how SE’d workers in Ontario, Canada were protected with available social security systems, following illness, injury, and income reduction or loss. Drawing on-depth interviews with 24 solo SE’d people; thematic analysis was conducted based on participant narratives. 
\nFindings revealed that one of the challenges of providing support to SE’d people is derived from unclear definitions of who is SE’d. Thus, based on peer-reviewed literature, this dissertation demystified the conceptualization of SE and explored why people choose SE, including the push and pull factors. The comparative policy analysis revealed that support for SE’d workers following their injury or sickness was barely present in the relevant policies in Australia (NSW) and Canada (Ontario). In both cases, the SE’d workers tended to be homogenized in policy documents and literature as financially prosperous, younger, and highly educated. In this context, this study argues that a significant number of SE’d workers living in both jurisdictions need income support during their absence from work due to injury and sickness. This dissertation also explored the experiences of SE’d workers in Ontario in terms of social security systems that SE’d workers encountered when ill or injured. The study identified several constraints to social security access in this context: premium affordability, information/knowledge gap, lack of SE social support programs, the red tape of bureaucracy, confidence about savings, and lack of trust in the government-regulated system.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,302
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0030,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,008
Tête enseignante GPT0,223
Écart entre enseignants0,216 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2022
Routes d'admission1
Résumé présentoui

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