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Record W1966680799 · doi:10.1177/003172170708900115

Schools, Poverty, and the Achievement Gap

2007· article· en· W1966680799 on OpenAlexaboutno aff
Ben Levin

Bibliographic record

VenuePhi Delta Kappan · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyPolitical scienceContext (archaeology)Equity (law)Economic growthPedagogySociologyPsychologyMathematics educationLawHistory

Abstract

fetched live from OpenAlex

LAST June, representatives from more than 20 countries and several international agencies came together under the midnight sun in Trondheim, Norway, to discuss the challenge of creating greater in the outcomes of This meeting, sponsored by the Organisation for Economic Co-operation and Development (OECD) and the Norwegian Ministry of Education, was the culmination of several years of work on the theme of equity in education. The OECD will shortly issue a report titled No More Failres, replete with analysis and recommendations on how to improve in educational outcomes. The concern for raising the bar and closing the in educational outcomes is now widespread around the world. Kappan readers will be familiar with the debate on the achievement gap, especially in the context of No Child Left Behind. In Europe, the results of (Programme for International Student Assessment--www.pisa.oecd.org) brought the issue into stark relief as well. PISA, a large, carefully designed study now involving more than 40 countries, tests 15-year-olds in reading, science, and mathematics. There have been two rounds of results so far, in 2000 and 2003, with a third due to be released this December. The findings of have been striking and consistent. Some countries that thought they were doing well educationally found that they had not only poor overall results but also very large gaps between their highest- and lowest-achieving students. In Germany, the phrase PISA Schock has come into the language as a sign of how serious the problem is. In contrast, some other countries, such as Finland, Korea, and--yes--Canada, showed very high overall results and much smaller gaps in their achievement distribution. The reality, in and in every other assessment of student outcomes, is that socioeconomic status remains the most powerful single influence on students' educational and other life outcomes. This is true in Finland and Canada as well as in the U.S. and everywhere else. Where you are born and grow up matters enormously to what you are able to be and do. A recent study in my home town of Winnipeg, using a database of all children born in the city in 1984, showed that, whereas 89% of all students writing the grade-12 language exam passed, only 12% of students whose families had received social assistance in the previous two years passed the exam.1 Indeed, a large proportion of this group was either a year or more behind or out of school entirely. Although the achievement gap in Canada is smaller than in the United States, it is far from trivial. UNICEF's Innocenti Research Centre recently released a report with the fascinating title of Child Poverty in Perspective: An Overview of Child Well-Being in Rich Countries (www.unicef-irc.org/publications). Using a rich array of data, it compares the situation of children in Canada, the U.S., the United Kingdom, and 18 other European countries on six dimensions, including material well-being, health and safety, education, peer and family relationships, behaviors and risks, and young people's subjective sense of well-being. No country ranks high on all six dimensions. The Netherlands gets the best overall score. Canada's average ranking across the six areas is 12th, while the U.S. and the U.K. are at the bottom. And the kicker is that the report concludes: Variation in government policy appears to account for most of the variation in child poverty levels between OECD countries. No OECD country devoting 10% or more of GDP to social transfers has a child poverty rate higher than 10%. No country devoting less than 5% of GDP to social transfers has a child poverty rate of less than 15%. (2) About 15% of Canadian children live in poverty, defined as living in a household with income less than 50% of the national median. What makes the Canadian situation galling is that in 1989 the Parliament of Canada passed a unanimous motion to end child poverty in the country by the year 2000. …

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.004
Science and technology studies0.0050.006
Scholarly communication0.0060.005
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.050
GPT teacher head0.364
Teacher spread0.314 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2007
Admission routes1
Has abstractyes

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