MétaCan
Menu
Back to cohort

Comparing Public Social Provision and Citizenship in the United States, Canada, and Mexico: Are There Implications for a North American Space?

2007· article· en· W1507009459 on OpenAlex
Lucy Luccisano, Amy Romagnoli

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePolitics &amp Policy · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsCitizenshipParallelsSanctionsWorkforceWelfare reformPolitical scienceSocial policySocial rightsSocial citizenshipWelfareEconomic growthPublic administrationSociologyEconomicsHuman rightsLawPolitics

Abstract

fetched live from OpenAlex

This study compares the reform of public social provision in the United States, Canada, and Mexico from 1996 to 2006. It highlights important parallels among the three countries in terms of policy design, discourses that frame each policy, and the ways social citizenship has become reconfigured. We argue that in all three cases, poor women/mothers are being regulated, monitored, and held accountable through surveillance and sanctions, reinforcing how social rights have morphed into social responsibilities and obligations. The objective is to shift welfare from “passive” support to “active” integration into the market, reinforcing a worker‐citizen model within precarious labor markets. The Canadian model shares elements with the U.S. model in its emphasis on welfare‐to‐work policies and integrating single mothers with young children into the workforce. The Mexican model integrates mothers as consumers into the market while investing in their children as future worker‐citizens. The article concludes by broadening the discussion from country‐specific analysis to speculating about the possibility of integrating workers within a North American market.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.295
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.064
GPT teacher head0.336
Teacher spread0.272 · 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