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Record W4230036432 · doi:10.24124/2009/bpgub667

The experience of assessing risk by child protection workers in the north region of British Columbia

2009· dissertation· en· W4230036432 on OpenAlexaboutno aff
Anita Agnes Taylor

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryThematic analysisChild protectionRisk assessmentMeaning (existential)Qualitative researchPsychologyQualitative propertyApplied psychologySocial psychologyNursingMedicinePolitical scienceSociologyManagementSocial scienceLaw

Abstract

fetched live from OpenAlex

The aim of this qualitative study was to explore the experience of child protection social workers in the assessment of risk within a structured risk assessment model that employs a comprehensive risk assessment instrument to guide decision-making. The study explored the experiences of six female child protection workers employed by the Ministry of Children and Family Development in the North Region of British Columbia in completing a risk assessment case scenario of an at-risk child. Qualitative data were analyzed using thematic analysis to reveal the experience of assessing risk. The analyses revealed two broad themes: the meaning of the experience and reflection on practice with four sub themes (the experience of assessing risk, professional versus the personal, information gathering, and practice differences) that attempt to capture the interrelationship between the self and the job. --P.ii.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.472

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0220.010
Scholarly communication0.0040.001
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.280
Teacher spread0.267 · 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 designQualitative
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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