MétaCan
Menu
← Back to cohort
Record W7116129647 · doi:10.82267/2827

Monadnock area transitional shelter

2007· article· en· W7116129647 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsRentingTraining (meteorology)Affordable housingAccommodationQuarter (Canadian coin)Rental housingAging in placeJob loss

Abstract

fetched live from OpenAlex

The project created a transitional shelter for the homeless community in the Monadnock Region, housing up to eight residents at any given time. The length of stay varied from 2- 6 months, resulting in 16-48 residents per year. Working with Monadnock Area Transitional Shelter (MATS), residents established a savings account to move along the housing continuum, with the eventual goal of ending with home ownership. Additionally, they received educational assistance, job training and placement services, food assistance programs, and enrollment in home-ownership programs. Once financially stabilized, residents moved from transitional housing to affordable rental housing, with the aim of eventual home ownership. Southwestern Community Services (SCS), in conjunction with the Monadnock Area Housing Coalition, has programs for homeless individuals in nearby Cheshire County. MATS partnered with these organizations, creating a set of support mechanisms and financial growth opportunities for residents. As a result, eligible residents had access to IDA programs (3:1 ratio), a rental guarantee program, a housing security guarantee program, and prevention/intervention programs to prevent future homelessness. Also, MATS provided comprehensive case management, including guidance and support to residents and their families. If eligible, residents received energy and food assistance. Job training and employment services were coordinated with the state of NH. Results were measured by the number of residents sheltered, employment secured and retained, average savings accumulated, and changes in resident's income. (Author abstract)

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0440.003

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 head0.077
GPT teacher head0.441
Teacher spread0.364 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicHomelessness and Social Issues→French-language works237,207→