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Record W24472640 · doi:10.1093/pch/14.5.281

Where is the stimulus package for our children?

2009· article· en· W24472640 on OpenAlexaff
Joanne Embreé

Bibliographic record

VenuePaediatrics & Child Health · 2009
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsStimulus (psychology)MedicineAudiologyComputer sciencePsychologyCognitive psychology

Abstract

fetched live from OpenAlex

Bailouts, stimulus packages, economic recovery – these words have become part of our collective vocabulary, defining a new reality for North Americans. Dealing with economic woes has been at the top of the public agenda since last fall, yet spending for children's programs has not been part of the conversation. The auto industry is in a crisis; out-of-work Canadians need retraining and job support; and housing construction needs a kickstart. Airlines, tourism and even the hog industry are taking an economic hit over the H1N1 influenza (‘swine flu’) outbreak. Is this really a good time to be advocating for investments in early childhood? There is perhaps no better time. In the talk about economic recovery, the view is primarily short-range – supporting those who are out of work right now and minimizing further losses. But this must be coupled with a long-term plan for economic stability, which requires policies and programs that ensure a competent and energetic future workforce. That plan needs to include a focus on the well-being of children – their health, their educational opportunities, their care and their families. Paediatricians and other advocates for children and youth have been arguing this for decades. However, in recent years, a growing chorus of economists, academics and business leaders have taken up the refrain. Importantly, they have the evidence and data to support this advocacy effort. In the United States, the Partnership for America's Economic Success – created in 2006 by a group of business leaders, economists, advocates and sponsors to document the economic impact of investments in children from before birth to age five years – is leading the way. This high-profile partnership has commissioned research and produced a series of papers by leading academics on the evidence for policies and programs that support children's health, education, and early childhood development. The difference between this movement and the arguments of the past is the clear link between investments in children and future economic success. It's not just about “doing what's right for children”, it's also about doing what makes fiscal sense for a nation: “[E]arly improvements in child health, academic achievement, and behavior as well as improved parenting can yield sizable economic benefits for adult earnings”, concludes one recent paper (1). Another says that “health problems in early childhood may be significant determinants of adult socioeconomic status” (2). Studies find that confronting the major threats to child health early on – including exposure to tobacco smoke, unintentional injury, poor mental health and obesity – could yield significant long-term economic benefits. Still, “society has failed to take an investment approach to the health of young children, despite the logic of doing so and despite the evidence available that these investments are beneficial” (3). Neuroscience has taught us just how critical the experiences of the early years are to future health, learning and behaviour. What happens to children during this time can set them on a lifelong course – for better or for worse. We owe it to children to get it right. According to Nobel Prize-winning economist James Heckman, the earlier the better. Heckman argues that early learning begets later learning, and that even waiting until children reach school age to intervene may be too late for some. “The real question is how to use the available funds wisely”, writes Heckman. “The best evidence supports the policy prescription: invest in the very young and improve basic learning and socialization skills” (4). In Canada, despite a strong public education system and universal health care, very young children are sorely neglected on the public policy front. Our standing among the world's richest countries lays bare these failures: Canada has not fared well in international comparisons of child health and well-being. In a recent report (5) on child care, for example, the United Nations International Children's Emergency Fund developed a set of minimum standards for protecting children in their vulnerable and formative years. Only six of the 25 Organisation for Economic Co-operation and Development countries met at least eight of the 10 benchmarks. Canada ranked last, meeting only one. Investments in quality early childhood care and education have the potential for massive returns down the road (6). Still, there has been no movement toward a national child care strategy in Canada. Judith Maxwell, the former head of the Economic Council of Canada, says the federal government should extend parental leave to two years, increase benefits payable through the National Child Benefit, create a national system for monitoring progress in educating children younger than six years of age, and for all provinces to extend the public education system for four- and five-year-old children (7). What is the policy solution? First, we need a clear commitment from the federal government to make a sustained investment in young children. This is critical. Without it, organizations and practitioners working with and for children will continue to operate in a public policy vacuum, lacking both the resources and the political will to do what they know is both necessary and right.

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)0.009
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.076
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0080.016
Open science0.0020.004
Research integrity0.0100.011
Insufficient payload (model declined to judge)0.0760.011

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 head0.019
GPT teacher head0.315
Teacher spread0.295 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2009
Admission routes1
Has abstractno

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