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Enregistrement W3163761409 · doi:10.55016/ojs/sppp.v7i1.42486

Beyond Housing First: Essential Elements of a System-Planning Approach to Ending Homelessness

2014· article· en· W3163761409 sur OpenAlexafffund
Alina Turner

Notice bibliographique

RevueThe School of Public Policy Publications · 2014
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHomelessness and Social Issues
Établissements canadiensUniversity of Calgary
Organismes subventionnairesGovernment of Canada
Mots-clésDisappointmentPovertyGovernment (linguistics)Housing FirstSociologyPolitical sciencePublic relationsEconomicsEconomic growthMental healthPsychologySocial psychologyMental illness

Résumé

récupéré en direct d'OpenAlex

The concept of “Housing First” has taken on a powerful status in the complex of government, non-profit and academic systems that study and seek to eliminate homelessness. It is a compelling concept, in that it has brought our society to the realization that housing instability itself is often the culmination of various underlying and intersecting issues, ranging from mental health and addiction issues to domestic abuse and poverty. The “Housing First” principle holds that homeless individuals stand a far poorer chance of improving their condition while they remain homeless; that the stability of a permanent home provides the foundation that allows individuals to begin addressing the issues that led to their housing instability in the first place. However, the elegance of the fundamental principle behind “Housing First” also risks creating an illusion, wherein agencies and governments might too easily conclude that the entirety of this approach to ending homelessness is merely to begin housing the homeless. While that is a step in the process, it is but a piece of the Housing First approach. And unless all the various elements of the approach are also included in the actual work done on the ground, the success observed so far in communities that have tried the Housing First approach will not necessarily be replicated. This can lead to disappointment for those trying to implement new strategies, undermine the effectiveness of Housing First, and most importantly, fail to fully help those individuals in need. Housing First encompasses a strategic application of key principles across the entire homeless-serving system. When it is introduced into a new jurisdiction, it must be accompanied by an overhaul of the current approach to social policy and service delivery. The implementation of Housing First requires a difficult and systematic process, beginning with planning and strategy development that recognizes how every part of the homeless-serving system will co-ordinate around the Housing First philosophy. In many cases, the entire organizational infrastructure will have to be re-aligned in a way that supports the implementation of a Housing First approach. On the ground, services must be co-ordinated in a way such that clients can be assessed by level of need using standardized methods across all agencies, while reducing duplication of services across agencies. An important part of this is the requirement for an effective and integrated information management, so that different agencies can track what services are — and are not — being provided to each client, to what effect, and how the client’s need level changes over time. Finally, there must be formal systems of performance management and quality assurance to clarify whether systems are operating as they should, and whether goals — most importantly, improving the condition of clients — are being met. There is a great deal of growing support for the Housing First approach in the non-profit sector and government sector alike. This presents an opportunity to make real progress in making wholesale changes to our approaches for ending homelessness, which have been needed for some time. Key to that is leveraging the widespread enthusiasm for Housing First programming into a reform for the entire homeless-serving system. Housing First as a popular catchphrase is not a magic bullet for ending homelessness — but as a philosophical basis for guiding broader change throughout the system, it does have the potential to get us closer to that ultimate goal.

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)0,004
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,801
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0010,000
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 Opus0,063
Tête enseignante GPT0,401
Écart entre enseignants0,338 · 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'étudeThéorique ou conceptuel
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

Citations10
Publié2014
Routes d'admission2
Résumé présentoui

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