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Record W2972791155 · doi:10.15453/0191-5096.4140

Myth or Reality? Exploring Intergenerational Social Assistance Participation in Ontario, Canada

2019· article· en· W2972791155 on OpenAlexaffabout
Tracy Smith‐Carrier, Amber Gazso, Stephanie Baker Collins, Carrie Smith

Bibliographic record

VenueThe Journal of Sociology & Social Welfare · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsThe King's UniversityMcMaster UniversityYork UniversityWestern University
Fundersnot available
KeywordsGrounded theoryReceiptSociologyConformityQualitative researchScholarshipSocial psychologyHegemonyPsychologySocial sciencePolitical sciencePolitics

Abstract

fetched live from OpenAlex

Is there an intergenerational causal link in social assistance (SA) participation? There is a dearth of research addressing this question, yet the discourse of ‘welfare dependency’ is hegemonic. The limited research that does attempt to tease out a causal link in intergenerational SA participation remains equivocal. Qualitative research is largely absent in welfare scholarship; research that might provide a more nuanced understanding of the dynamics underlying SA receipt. We employ an inductive qualitative analysis, using procedures from grounded theory, to understand SA participants’ experiences and perspectives on intergenerational SA usage. We find that the two causal mechanisms underlying intergenerational SA usage, the learning effect and conformity effect, require further investigation. The theoretical foundations fundamental in explaining a causal intergenerational link are shaken by our grounded theory approach.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.109
GPT teacher head0.357
Teacher spread0.248 · 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 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

Citations7
Published2019
Admission routes2
Has abstractyes

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