Policy responses to youth homelessness: Ireland and Flanders compared
Notice bibliographique
Résumé
Background: Youth homelessness is a global problem and the situations and needs of young people who experience homelessness are increasingly recognized as distinct from those of their adult counterparts. Correspondingly, responses to youth homelessness have shifted in many countries, with policy and interventions increasingly directing the weight of attention toward prevention, alongside initiatives designed to move young people out of homelessness services and into housing as soon as possible. Within the literature, however, relative to analyses of policies targeting adult homeless populations, comparative research on youth homelessness policy is very under-developed. Aim: This paper examines youth homelessness in Ireland and Flanders, Belgium, reviewing the scale and nature of the problem and examining policy responses to youth homelessness in both jurisdictions. Results: Findings reveal many parallels in the scale and drivers of youth homelessness Ireland and Flanders. Policy has evolved at a faster pace in Ireland, where there has been far more substantial investment in the development of strategic approaches to tackling the problem of youth homelessness. In both Ireland and Flanders, there is evidence that policy has not adequately addressed the structural causes of youth homelessness, including the lack of affordable housing and migration, as an emerging structural driver of homelessness among young people. Gendered homelessness is not explicitly addressed within youth homelessness policy in either Ireland or Flanders despite the strong presence of young women in their respective homeless populations. Conclusion: The paper concludes by discussing the key issues and lessons arising from the paper’s analysis, particularly in terms of realizing the goal of providing sustainable housing solutions for young people who experience homelessness. Youth homelessness is a global social problem that has grown in scale in many European countries over the past decade ( FEANTSA, 2017a , FEANTSA, 2018 ). Rising numbers of youth have also been recorded as homeless in the US, Canada and Australia (Australian Housing and Urban Research Institute, 2020; Gaetz et al., 2016 , The U.S. Department of Housing and Urban Development, 2021 ). As a population, young people who become homeless are known to have experienced pre-homelessness adversities, often spanning from childhood, with large numbers reporting family conflict and breakdown, experiences of abuse and/or violence, disrupted schooling, and histories of state care ( Davies and Allen, 2017 , Embleton et al., 2016 , Grattan et al., 2022 , Morton et al., 2018 ). In several countries, LGBTQI+, Indigenous and migrant youth have been identified as at higher risk of homelessness ( Ecker et al., 2019 , FEANTSA, 2017b , Kidd et al., 2019 , Shelton et al., 2020 , Baptista et al., 2016 ). Irrespective of their family and personal characteristics, poverty is a factor that unites youth who experience homelessness ( Embleton et al., 2016 , Mayock and Parker, 2023 ), with structural and economic disadvantage creating the conditions that work, alongside other factors, to push young people out of home.
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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 | 0,003 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».