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Record W2127973445 · doi:10.1037/ort0000033

School-based service delivery for homeless students: Relevant laws and overcoming access barriers.

2014· review· en· W2127973445 on OpenAlexaff
Michael L. Sulkowski, Diana Joyce‐Beaulieu

Bibliographic record

VenueAmerican Journal of Orthopsychiatry · 2014
Typereview
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsService delivery frameworkService (business)Medical educationConfusionPsychologyPublic relationsSociologyMedicinePolitical scienceBusiness

Abstract

fetched live from OpenAlex

Schools in the United States are facing a record number of homeless students. These students are highly at-risk for experiencing negative life outcomes, and they face considerable academic and social-emotional functional impairments. To help address the complex needs of homeless students, this article reviews the intersection of laws and practices that impact homeless students, as well as contemporary school-based service delivery efforts to support the academic and social-emotional needs of these students. In addition, this article also reviews several barriers to school-based service delivery for homeless students and ways to overcome these barriers. These barriers include confusion regarding consent and record-sharing procedures, ineffectively utilizing homeless liaisons, and misapplying tenants of Multitiered Systems of Support (MTSS), which is a school-based service-delivery framework that has been adopted by and implemented in many U.S. schools. Ultimately, this article aims to provide members of school communities with practical information that they can use to support the homeless youth they encounter and serve.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.465
Teacher spread0.415 · 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
GenreReview

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

Citations19
Published2014
Admission routes1
Has abstractyes

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