Notice bibliographique
Résumé
LEADER ❙J ada Renee Louis from Virginia had type 1 diabetes.She was 24 years old when she died in 2019, a week after hospital care for diabetic ketoacidosis.'Louis, who did not have health insurance coverage, couldn't afford the cost of her insulin doses and pay her rent.She chose to skip doses in order to pay her rent.' 1 In an online survey by the American Diabetes Association, among 3539 respondents with diabetes, 32.4% had experienced missed payments on bills or cut down spending since the start of the COVID pandemic.Default or imminent default on mortgages or other debts affected 15.6%, twice the national rate, and 7.6% had become temporarily or fully homeless, 48 times the national average. 2orldwide, 1.6 billion people live in inadequate housing and about 15 million are evicted by force annually. 3'On a single night in 2022, roughly 582,500 people were experiencing homelessness in the United States.Six in ten (60%) were staying in sheltered locations…and four in ten (40%) were in unsheltered locations such as on the street, in abandoned buildings, or in other places not suitable for human habitation.' 4 In England, between January and March 2023, 83,240 households were homeless or threatened with homelessness, 5.7% more than the same quarter in 2022.In addition, 37,890 were threatened with homelessness. 5Homeless people may be 'street homeless', for example sleeping rough in doorways, or 'hidden homeless' -sofa surfing or staying in hostels or shelters. 6n England, since 2018, specified public bodies must 'refer, with consent, users of their service who they think may be homeless or threatened with homelessness to a local housing authority of the individual's choice.'The local authority must provide temporary accommodation to an applicant who is unintentionally homeless, eligible for assistance and has priority need.Priority needs include people who are vulnerable, or have a disability.'104,510 households were in temporary accommodation on 31 March 2023…up 10.0% from the same time last year.' 5 Homeless people can also claim benefits (universal credit) if they are on the streets, sofa surfing or staying in a hostel.They need an address to do this -the hostel, day centre, local job centre.People with diabetes may be able to claim disability benefits.(See Box 1.)Factors contributing to homelessness include the person's or household's financial, psychological, cognitive, health, physical, and behavioural state.Geography, availability of affordable, accessible, or appropriate housing, local or national systems or barriers, and discrimination may contribute, as may natural disasters.Homeless people often have multiple health issues including chronic diseases, mental health disorders, LEADER ❙
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 | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,047 | 0,005 |
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 ».