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Record W252808284

Four Commentaries: Looking to the Future

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

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Future of Children · 2004
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationWorkforcePovertyEconomic growthDiversity (politics)Working poorImmigration policyPolitical scienceQuarter (Canadian coin)Demographic economicsBusinessEconomicsGeographyLaw
DOInot available

Abstract

fetched live from 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. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.276
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it