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Record W6980906181

Day 1: Morning Sessions & Keynote Address (GSHA 12th Annual Supportive Housing Conference)

2022· article· en· W6980906181 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSupportive housingCognitive reframingSession (web analytics)Housing FirstSobrietyPublic housingMental healthIntervention (counseling)State (computer science)Economic Justice
DOInot available

Abstract

fetched live from OpenAlex

A Conversation with the Department of Behavioral Health and Developmental Disabilities\nGeorgia Department of Behavioral Health and Developmental Disabilities leadership will update us on the state's efforts to provide housing and supports to formerly homeless persons with behavioral health and/or substance abuse disorders by providing supportive housing and services. They will update us on where we are now and share what lies ahead this year for DBHDD in the wake of the successful passage of the Mental Health Parity Act in 2022, with historic levels of federal and state funds.\nStrategies to Advance Housing Equity Through Federal, State, and Local State Policy Actions\nThis session features recognized experts providing a national, state, and local perspective on important housing justice issues. Mr. Miao will discuss successful equitable housing policies implemented by local jurisdictions with support from the ChangeLab Solutions Housing Collaborative. Attorney Appley will update us on advocacy at the Georgia Capitol surrounding state policy on housing and homelessness. Dr. Raymond will provide an overview of her research on housing justice, race, segregation, and the financialization of housing.\nKeynote Address: Housing First - Putting Proven Best Practices to Work to End Unsheltered Homelessness\nThe Housing First model, launched in 1992 by Dr. Sam Tsemberis, is an evidence-based intervention that uses a psych-rehab philosophy driven by consumer choice to engage, house, and keep housed individuals with long histories of homelessness, mental illness, and addiction. Housing First is based on the belief that housing is a basic human right and not something that must be earned through demonstrated periods of sobriety or other clinical or programmatic prerequisites. Housing First programs have been implemented across the United States, Canada, European Union, Australia, and New Zealand. Dr. Tsemberis is currently working with the Georgia Department of Behavioral Health and Developmental Disabilities and local nonprofits to expand the practice of Housing First throughout the State.

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)0.001
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.052
GPT teacher head0.339
Teacher spread0.286 · 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 designNot applicable
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 routes1
Has abstractyes

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