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Record W3121623877

Child Poverty, Homelessness and the Exploitation of Children

2008· book-chapter· en· W3121623877 on OpenAlexaboutno aff
Brian Simpson

Bibliographic record

VenueRUNE (Research UNE) · 2008
Typebook-chapter
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyPsychologyChild povertyEconomic growthEconomics
DOInot available

Abstract

fetched live from OpenAlex

This chapter places in context the manner in which the law seeks to address issues of child poverty, homelessness and the exploitation of children. Child poverty is an area where politicians have set overly ambitious goals. In 1987, then Prime Minister, Bob Hawke, pledged that 'by 1990 no Australian child will be living in poverty' - a pledge he now regrets having made. The Canadian House of Commons passed a motion in 1989 which stated the goal of eliminating child poverty in Canada by 2000. In 1999, then United Kingdom Prime Minister, Tony Blair, similarly pledged to end child poverty in the annual Beveridge Lecture. While equally ambitious as his Australian counterpart, Blair's speech nevertheless set out the agenda for bringing about this reform, indicating its overlapping aspects by identifying reform of student finance, youth employment programs, welfare law reform, pension reform, child-support law reform, family and child benefit reform and long-term care and housing benefit reform as part of an integrated approach to ending child poverty.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.003

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 head0.093
GPT teacher head0.413
Teacher spread0.320 · 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
GenreOther

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

Citations1
Published2008
Admission routes1
Has abstractyes

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