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Record W7017761124

Children and the Millennium Development Goals: fragile gains and deep inequalities: Policy Paper 2

2010· article· en· W7017761124 on OpenAlexaboutno aff

Bibliographic record

VenueOxford University Research Archive (ORA) (University of Oxford) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
Fundersnot available
KeywordsMillennium Development GoalsPovertyExtreme povertyHuman rightsHuman development (humanity)SummitChild mortalityUniversal Primary EducationHuman Development ReportWelfare
DOInot available

Abstract

fetched live from OpenAlex

As a promise made to poor people worldwide the Millennium Development Goals remain a powerful signal of international consensus that more must be done to improve human development. Commitment to the MDGs was reiterated at the 2010 summit of G20 countries (G20 2010) in Toronto. As the UN Secretary General described: "They are the world’s quantified, time-bound targets for addressing extreme poverty, hunger and disease, and for promoting gender equality, education and environmental sustainability. They are also an expression of basic human rights: the rights of everyone to good health, education and shelter (12 February 2010). This paper aims to inform the debate around achievement of the MDG Goals using evidence and analysis from Young Lives. Young Lives first collected data in 2002 and is following two cohorts of children. The youngest cohort of Young Lives children were born just after the new millennium and are growing up with the promise of the MDGs." Many of the MDGs focus on children (including primary school enrolment, child mortality, and malnutrition). Gender equity is also of vital importance given that maternal health affects children’s welfare and that women often buffer children from the impacts of shocks and adverse events. This emphasis on children is important both because of society’s inherent responsibility towards those in a dependent phase of life and because early intervention can bring important long-term benefits, and so it represents an investment in the wider success of society. Tackling childhood poverty is therefore key to breaking wider poverty cycles. While acknowledging progress, the emerging picture is one of fragile gains and with deep, continuing, inequalities. All four countries in which Young Lives is working experienced economic growth between 2002 and 2006. This growth has been associated with falls in absolute poverty rates and with some improvements in access to basic services and measured wealth among the Young Lives households. However significant inequalities in access, quality and children’s outcomes remain. Alongside the fragile gains, and even before the on-going global crisis, it was clear that Young Lives children experience regular shocks which can compromise their development. A later wave of data collected in 2009 will indicate how children were affected by these crises and also help to evaluate how effective formal and informal institutions are at buffering children facing these pressures. We discuss descriptive and analytical evidence from the Young Lives sample, within the scope of the MDGs, to elaborate four core arguments: First, between 2002 and 2006 we observe evidence that national economic growth was associated with some limited gains in household wealth in the Young Lives sample. Despite this growth, significant inequalities are common. We also observe substantial positive increases in school enrolment and coverage of basic services. Second, in some areas – for example enrolment – change looks quite progressive, with increases apparently benefiting previously excluded groups most, but: Gaps often remain large and systematic – groups weak within societies often do much less well than the majority or more affluent and powerful elites. Process indicators only tell part of the story – a child’s enrolment does not prove they attend school regularly, receive a decent education, or one which equips them with useful skills for later life. Third, if the MDGs are to be transformational for children they need to help break the transmission of poverty between generations. At the moment we see clear evidence that poverty and inequalities restrict poorer children’s life chances. Strategies to support sustained improvements under the MDGs need both to increase overall outcomes, and to deliver most for the poorest and most marginalised children. Fourth, averages are often used to measure change but can mask disparities between groups. Our evidence shows considerable differences – for instance in enrolment rates or access to services. It is important to expose such disparities to help understand how to improve outcomes for the poorest and most marginalised children.

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)0.007
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0040.005
Scholarly communication0.0100.010
Open science0.0010.008
Research integrity0.0100.010
Insufficient payload (model declined to judge)0.0270.002

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 head0.027
GPT teacher head0.282
Teacher spread0.255 · 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
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

Citations0
Published2010
Admission routes1
Has abstractyes

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