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Record W2784641347 · doi:10.55016/ojs/sppp.v10i1.43141

Social Policy Trends: Federal and Provincial Contributions to Social Assistance

2017· article· en· W2784641347 on OpenAlexaffabout
Margarita Wilkins, Ronald D. Kneebone

Bibliographic record

VenueThe School of Public Policy Publications · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSocial policyPolitical scienceSociologyRegional sciencePublic administrationLaw

Abstract

fetched live from OpenAlex

FEDERAL AND PROVINCIAL CONTRIBUTIONS TO SOCIAL ASSISTANCE Since 1997, the federal government has contributed a growing share of the total support provided to families receiving social assistance Persons receiving social assistance are given support in a number of ways by both the government of the province in which they live in and, increasingly, by the federal government. Support is provided in the form of basic social assistance, a GST and other tax credits, and, when children are involved, child tax benefits. The graph shows information for Alberta assuming a lone parent with one child aged less than 6 years. All values are adjusted for inflation. The height of the blue bars identifies the total provincial contribution given by the government of Alberta. It combines the amount of basic social assistance with minor additional benefits.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.012
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.191
GPT teacher head0.485
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 designObservational
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
Published2017
Admission routes2
Has abstractyes

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