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Record W2885557256 · doi:10.11575/sppp.v11i0.44203

Social Policy Trends: Social Assistance Caseloads in Alberta by Family Composition

2018· article· en· W2885557256 on OpenAlexaffabout
Ronald D. Kneebone, Margarita Wilkins

Bibliographic record

VenueRePEc: Research Papers in Economics · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComposition (language)Social policyPolitical scienceLawArt

Abstract

fetched live from OpenAlex

SOCIAL ASSISTANCE CASELOADS IN ALBERTA BY FAMILY COMPOSITION During Alberta’s recent economic recession, most new social assistance cases were filed for single individuals. Alberta Works is a social assistance program that allows certain individuals to receive income support from the provincial government. One of the eligibility criteria is that those persons must be free of physical or mental limitations that could affect their employment opportunities. Once they are accepted into the Alberta Works program, those persons are filed under the Expected To Work (ETW) classification. This classification, and the composition of the individual’s family, determines the level of income support to which they are entitled. In 2017, a single adult was eligible to receive, from all sources, up to $674 per month in income benefits. A single parent with one child was eligible to receive $1,661 and a couple with two children was eligible for $2,608 per month. The graph on the right shows, during the period from April 2004 until May 2017, the number of ETW cases identified by the family composition of those receiving the 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)0.004
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 score0.026
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0060.007
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.032
GPT teacher head0.356
Teacher spread0.324 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicGender, Labor, and Family DynamicsFrench-language works237,207