Preparing at-risk youth for a changing world: revisiting a person-in-context model for transition to employment
Notice bibliographique
Résumé
Background: The current global cohort of youth has been called ‘a generation at-risk’, marked by a dramatic rise in youth who are not in employment, education or training programmes. In 2010, youth were three times as likely as adults to be unemployed, with youth unemployment worsening in 2012 and 2013. Accordingly, there is an urgent need to examine educational structures that can promote greater labour market attachment and successful transition into employment for youth worldwide. Vocational and work-based education (WBE) has been identified as one of the most recommended and promising educational structures for curtailing youth under- and unemployment. However, WBE takes many forms, making it difficult to discern which WBE programme is most likely to meet the diverse needs of any individual at-risk youth. Moreover, there has been a dearth of theoretical conceptualisations to explain WBE as a context that promotes resilience for at-risk youth as they transition into the world of work.Purpose: The purpose of this paper is to present a revised model for WBE as an enabling context for at-risk youth in transition from school to employment. Specifically, a person-in-context approach is used, situating youth-related facets (e.g. agency) in relation to systemic facets (e.g. political, cultural) to provide a comprehensive theoretical basis for WBE. The revised model maintains three overlapping domains – the individual, the social-cultural and the economic-political – to address a theoretical gap in the literature on transition systems while providing a foundation for practical efforts to prepare at-risk youth for engaging in a changing labour market.Design and Methods: The model was constructed through a systematic and interdisciplinary integrative literature review that examined empirical, conceptual, policy-based and practice-based literature on at-risk youth transition from school to work. Articles and documents were analysed for both individual and contextual factors that influence transition, in order to contribute towards the development of a robust person-in-context model. Existing models of transition and other systems were also examined that addressed the needs of at-risk youth. A ‘person-in-context’ approach was selected for our model as it enabled representation of both macro- and microcosmic factors that shape effective WBE programming.Conclusions: The model is organised around three critical domains that were identified as being influential for school-to-work transition: the individual domain, the social-cultural domain and the economic-political domain. Within each of these domains, multiple facets are described that shape youth transition. WBE is positioned at the centre of the model as an educational structure that can attend to the multiple facets that shape engagement in school and work. The paper concludes with an explicit research agenda linked to the model and practical implications for WBE programming.
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 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,009 | 0,018 |
| Communication savante | 0,010 | 0,012 |
| Science ouverte | 0,003 | 0,013 |
| Intégrité de la recherche | 0,003 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».