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Four Commentaries: Looking to the Future

2004· article· en· W252808284 sur OpenAlexaboutno aff
Mark Greenberg, Hedieh Rahmanou, Harris N. Miller, Karen M. Kaufmann, J. Celeste Lay, William D. Novelli, Amy Goyer

Notice bibliographique

RevueThe Future of Children · 2004
Typearticle
Langueen
DomainePsychology
ThématiqueMigration, Health and Trauma
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImmigrationWorkforcePovertyEconomic growthDiversity (politics)Working poorImmigration policyPolitical scienceQuarter (Canadian coin)Demographic economicsBusinessEconomicsGeographyLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

To provide an array of perspectives about policies needed to serve the growing number of children of immigrant families in our country, we asked experts across various organizations and backgrounds to respond to this question: How should policymakers, advocates, stakeholders, and practitioners respond strategically and proactively to demographic change and increasing diversity in order to promote the healthy development, productivity, and well-being of our nation's children into the future? Their responses follow. COMMENTARY 1 Mark Greenberg and Hedieh Rahmanou The United States is in the midst of a profound demographic shift, to which our workforce and family support policies have not yet adequately responded. Almost one-fifth of the nation's children, and one-quarter of the nation's low-income children, are now immigrants or the children of immigrants. (1) One-fifth of the nation's low-wage workforce is comprised of immigrants, and half of the nation's job growth during the 1990s was attributable to immigrants. (2) Any national strategy for reducing child poverty, promoting child well-being, and helping low-wage workers advance must address the needs and circumstances of immigrants and their children. Federal policy has largely taken the opposite approach. In 1996, Congress elected to restrict access to food assistance, health care, income support, employment services, and other benefits and services for legal immigrants. Since that time, there have been limited partial repeals of some, but not most, of the restrictions. The result has been curtailed eligibility, a patchwork of uneven state and local responses, and sharp drops in participation among families that could benefit from services and assistance. As the articles in this issue and other analyses make clear, children of immigrants are likely to suffer significantly greater hardships than children of U.S.-born parents, and they are less likely to be receiving public benefits that could reduce their hardships and enhance their well-being. Moreover, the nation's workforce policies deny immigrant parents the assistance that might help them advance beyond the low-wage labor market. This commentary summarizes some of the key data suggesting the magnitude of the problem, and proposes a set of policies that could enhance the well-being of this significant and growing share of the nation's children. Income, Poverty, and Hardship among Immigrant Families In 2002, about 19% of the nation's children and roughly one-quarter (26%) of the nation's low-income children (with family incomes below 200% of poverty) were children of immigrants. (3) The poverty rate among children of immigrants was 22%, compared with 14% for children of U.S.-born parents. Most children of immigrants (51%) live in families with incomes below 200% of poverty. As detailed by Hernandez in this journal issue, on virtually every measure of hardship, children in immigrant families fare less well than children in families of U.S.-born parents. For example, children of immigrants are more than four times as likely to live in crowded housing and nearly twice as likely to be uninsured. They are more likely to have poorer health, and to live in families worried about affording food. (4) At the same time, low-income immigrant families are more likely to contain a worker than are low-income families with parents born in the United States. As explained by Nightingale and Fix in this journal issue, the fundamental difficulty faced by low-income immigrant families is not unemployment but low wages, substantially attributable to limited language proficiency and education. In 2002, nearly half (48%) of foreign-born workers were low-wage workers. (5) Among these low-wage workers, most (62%) were limited English proficient, and nearly half (45%) had not completed high school. Legal status is a significant issue for some, but most low-wage foreign-born workers in the United States are here lawfully. …

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,578
Score d'incertitude au seuil0,519

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
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 Opus0,009
Tête enseignante GPT0,276
Écart entre enseignants0,267 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
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

Citations8
Publié2004
Routes d'admission1
Résumé présentoui

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