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Record W2255883979 · doi:10.14288/1.0088570

Confidentiality and information-sharing practices of Ministry for Children and Families social workers

2009· article· en· W2255883979 on OpenAlexaboutno aff
Janet Louise Douglas

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldComputer Science
TopicEducational Systems and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsConfidentialityChristian ministryInformation sharingBusinessInternet privacyPolitical scienceComputer securityComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The move towards a more multidisciplinary approach to the delivery of child protection services in British Columbia raises concerns about the sharing of confidential case material. Factors associated with the information-sharing practices of social workers with law enforcement agencies were examined in this research. This descriptive study involved surveying forty-one intake child protection social workers employed by the Ministry for Children and Families in Vancouver and Coquitlam, using questionnaires. Knowledge of existing legislation, methods of accessing and sharing information with police, and attitudes about police involvement were examined, as well as workers' experience and participation in training. The analysis identified both contributors and obstacles to effective information-sharing and collaboration between social workers and police officers. Informal methods of accessing information were shown to be the most highly used and successful, but the lack of understanding of legislation and of each other's roles interfered with collaborative practice. The results of this research will be of assistance in future training, as well as the development of interagency protocols.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.700
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.222
Teacher spread0.211 · 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.

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
Published2009
Admission routes1
Has abstractyes

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