Addressing Risks and Reducing Homelessness of Vulnerable Parenting Youths: An Implementation and Impact Evaluation of HELP USA’s New Beginnings Program
Bibliographic record
Abstract
This quasi-experimental study evaluated New Beginnings -- a homelessness prevention program developmentally tailored for parenting youth -- implemented within the Homebase housing program in New York City. Although Homebase demonstrates significant reductions in homelessness, few programs address the unique needs of “at-risk” households with young heads of household. New Beginnings followed the critical time intervention (CTI) three-phase method of clinical and comprehensive service delivery, in which social workers focus on intensive engagement for securely linking youth with community-based support, including employment, educational, and health services. Participants included 314 parenting youth receiving New Beginnings and Homebase between May 2017 and June 2021. Implementation evaluation found adherence to CTI (e.g., smaller caseloads per case manager and frequent client engagement) that facilitated improvements in access to childcare, healthcare, employment opportunities, and household income levels. Propensity score matching with similar parenting youth receiving Homebase only showed New Beginnings significantly slowed shelter entries in the nine months following Homebase completion. Study findings demonstrate promise for preventing homelessness among at-risk parenting youth through time-sensitive and flexible responses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".