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Record W2105232813 · doi:10.7916/d8wh2w9t

Housing insecurity among urban fathers

2010· preprint· en· W2105232813 on OpenAlexaboutno aff
Marah A. Curtis, Amanda Geller

Bibliographic record

VenueRePEc: Research Papers in Economics · 2010
Typepreprint
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)UnemploymentDisadvantageSocioeconomic statusPopulationFace (sociological concept)Economic growthDemographic economicsGeographyPolitical scienceSociologyEconomicsDemography

Abstract

fetched live from OpenAlex

This article examines housing insecurity among an understudied population: urban fathers of young children. Housing security is of particular importance for vulnerable populations, and urban fathers, many of whom face unemployment and monitoring from the child support and criminal justice systems, often rely on this security to mitigate the socioeconomic challenges they face. By assessing the extent and type of housing insecurity affecting urban fathers, we identify a potentially serious source of disadvantage facing families more broadly. A year after the birth of a new child, fully a quarter of fathers reported significant housing insecurities with 3% experiencing homelessness. Results suggest that from 9-12% of fathers are doubling up, relying on others for living expenses, and moving more than once every year. Finally, only half of fathers had been able to maintain housing security over the three to four years since the focal child's birth.

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)0.002
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.073
GPT teacher head0.427
Teacher spread0.354 · 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

Citations8
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueRePEc: Research Papers in EconomicsSame topicHomelessness and Social IssuesFrench-language works237,207