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Record W4312732705 · doi:10.22329/csw.v22i2.7099

Bridging Out of an Impoverished Paradigm: A Qualitative Study to Help Us ‘Rethink Poverty’ Today

2022· article· en· W4312732705 on OpenAlexaffvenue
Tracy Smith‐Carrier, Trevor N. Johnson, Shane Clarke

Bibliographic record

VenueCritical Social Work · 2022
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsPovertyCurriculumCulture of povertyQualitative researchThematic analysisSociologyPublic relationsPolitical sciencePedagogyBasic needsSocial science

Abstract

fetched live from OpenAlex

This study explores two poverty training curricula, namely Bridges Out of Poverty (‘Bridges’) and a community-developed curriculum dubbed Rethink Poverty, intended to educate people about the causes, impacts and outcomes of poverty. The research questions posed in the study explore: (a) how are the poverty curricula assessed by participants; and (b) what can we learn about the ways in which poverty training materials are designed and/or delivered that might enhance their relevance and efficacy for community audiences? Employing a thematic analysis of qualitative interviews with participants, several themes emerged, including the importance of workshop facilitation that excludes the ideas surrounding Bridges (a theme dubbed ‘More of the same?); targeting poverty training to populations outside typical health and social service audiences (a theme entitled ‘Going beyond preaching to the choir’); themes related to ‘Observations on the evidence of poverty curricula’ and ‘Perceptions of poverty and debunking myths’; addressing the current ‘(Limited) motivation for action’ on poverty; and how to engage people to increase poverty awareness and advocacy (‘What’s missing’ in poverty training curricula). The discussion outlines key points, based on adult learning theory, for community providers to consider when offering poverty training for community audiences.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.121
GPT teacher head0.516
Teacher spread0.395 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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