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Record W45621646 · doi:10.18584/iipj.2013.4.1.5

Potential Barriers to Aboriginal Teenaged Mothers' Access to Maternal and Parental Benefits

2013· article· en· W45621646 on OpenAlexvenueaboutno aff
Jeremy Hull

Bibliographic record

VenueInternational Indigenous Policy Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Issues and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsParental leaveIndigenousPsychologyDemographic economicsEconomic growthEconomicsWork (physics)

Abstract

fetched live from OpenAlex

This chapter uses available data to examine the ways in which federal and provincial maternity, maternal, or parental benefits are likely to receive less income than others because of their lower income and parental leave programs may have a differential impact on Aboriginal teen mothers as compared to other Canadian parents. This is done through analysis of the employment and income characteristics of Aboriginal teen mothers in relation to the benefits and eligibility criteria for maternity and parental leave programs. It is concluded that Aboriginal teen mothers are less able to receive these benefits because they are less likely than others to meet the minimum requirements for hours of insured employment. In addition, those Aboriginal teens who meet the qualifying employment levels may be unable to take advantage of parental benefit options open to couples because they are more likely to be lone parents. It is also found that the Quebec Parental Income Plan is more generous and flexible than those in other provinces and its provisions would be especially beneficial to Aboriginal teen mothers. Recommendations for further research are provided.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.649

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.371
Teacher spread0.357 · 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 designQualitative
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

Citations4
Published2013
Admission routes2
Has abstractyes

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