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Record W4391956536 · doi:10.32920/25254394

Ten principles of residential child care

2024· preprint· en· W4391956536 on OpenAlexaffabout
Kiaras Gharabaghi

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsResidential careChild carePsychologyNursingMedicine

Abstract

fetched live from OpenAlex

The history of residential care for children and young people is quite extensive and features positive stories of resilience and adult-child relationships as well as negative stories of institutional abuse and the abdication of adult responsibility (Coldrey, 2001; Sen et al., 2008). Residential child care has manifested itself in many different ways over the past century. We have accounts of orphanages in Europe, residential schools for aboriginal children in Canada and settlement homes for the children of immigrant families in the United States (Addams, 1910; Korczak, 1925; Chrisjohn & Young, 1997). Over the course of twentiethcentury history, residential child care has shifted from voluntary and often faith-based initiatives, to large institutional organisations run by medical or social work professionals, to much more community-based and often much smaller programmes staffed by professional child and youth workers (Anglin, 2002). When we think of residential child care today, we are thinking typically of professional organisations operating within a variety of public and private sectors. In Canada these can include shelters for young people who are homeless, group homes, children’s mental health centres that provide treatment for children, young people and often their families, and child welfare programmes that care for children and young people who are unable to live with their families for reasons of safety and well-being.

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)0.010
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0100.052
Scholarly communication0.0100.008
Open science0.0030.013
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0080.003

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 head0.016
GPT teacher head0.300
Teacher spread0.284 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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