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Record W4387808652 · doi:10.3138/cpp.2023-006

Two Decades of Poverty Reduction Politics in Canada: Better for Single-Parent Families and Single Working-Age Adults?

2023· article· fr· W4387808652 on OpenAlexaffvenueabout
Geranda Notten, Fatima Tuz Zohora, Charles Plante, Rachel Laforest

Bibliographic record

VenueCanadian Public Policy · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsQueen's UniversityUniversity of SaskatchewanUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Réduire la pauvreté est une tâche complexe. Nous cherchons à savoir si la situation des familles monoparentales et des adultes célibataires en âge de travailler s’est améliorée, dans un contexte politique qui priorise, du moins sur le plan rhétorique, la réduction de la pauvreté à l’échelle de toutes les grandes divisions administratives canadiennes. Ces deux groupes présentent des taux de pauvreté très élevés. Nous analysons les changements dans la pauvreté de 1999 à 2017 de manière relative (par rapport au Canadien typique) et absolue (le pouvoir d’achat). En contrôlant les variables liées aux caractéristiques démographiques et régionales, nous constatons que le désavantage de pauvreté a diminué pour les deux groupes. L’amélioration des résultats pour les familles monoparentales est marquée et généralisée dans l’ensemble des provinces. Dans le cas des adultes célibataires en âge de travailler, l’amélioration est plus faible et se concentre dans les provinces qui connaissent une croissance économique vigoureuse. Ces résultats appuient l’affirmation selon laquelle les gouvernements ont priorisé l’inclusion des familles ayant des enfants à charge, tandis que l’inclusion des adultes célibataires en âge de travailler a été laissée en grande partie aux aléas de l’économie.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.045
GPT teacher head0.271
Teacher spread0.225 · 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 teacher head, not a consensus.

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

Citations4
Published2023
Admission routes3
Has abstractyes

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