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Record W285632603

When Rescue Is Urgent: Children in Shelter Placement for Seven Days or Less.

2001· article· en· W285632603 on OpenAlexaboutno aff
Esther Wattenberg, Katherine Luke, Molly Cornelius, Jennifer J. Menke

Bibliographic record

VenueUniversity of Minnesota Digital Conservancy (University of Minnesota) · 2001
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Medical emergencyLaw enforcementPopulationEnforcementMedicinePolitical scienceEnvironmental healthGeographyLaw
DOInot available

Abstract

fetched live from OpenAlex

Coauthored by CURA research associate Esther Wattenberg, this report examines the circumstances of 1,306 children in Hennepin County who were removed under urgent situations and placed, for seven days or less, in emergency shelter care. This population represents more than one-quarter (26%) of the total number of children who experienced out-of-home placement (4,998) in Hennepin County for 1999. The paper examines the circumstances of children who are removed from their families under emergency situations, their demographic profiles, and exit information following their shelter care. Two research questions guided the study: (1) Is placement in a shelter the least intrusive response for the safety needs of children in emergency situations? (2) Is it possible to capture and clarify the working relationships between child protection workers and local law enforcement officers? The paper draws conclusions and offers recommendations to improve protocols that guide emergency placements.

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)0.003
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 score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.048
GPT teacher head0.288
Teacher spread0.240 · 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

Citations2
Published2001
Admission routes1
Has abstractyes

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Same venueUniversity of Minnesota Digital Conservancy (University of Minnesota)Same topicHomelessness and Social IssuesFrench-language works237,207