MétaCan
Menu
Back to cohort
Record W2154947881 · doi:10.1177/0162243904264484

Risk, Morality, and Child Protection: Risk Calculation as Guides to Practice

2004· article· en· W2154947881 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueScience Technology & Human Values · 2004
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsFalse accusationAuditRisk assessmentActuarial scienceChild protectionMoralityPopulationInherent risk (accounting)Government (linguistics)BusinessValuation (finance)PsychologyRisk analysis (engineering)Social psychologyLawPolitical scienceAccountingComputer securityJoint auditEnvironmental healthInternal auditMedicineComputer science

Abstract

fetched live from OpenAlex

Initially found in population studies designed to discover a link between child abuse and population categories, risk has been institutionalized in British Columbia through the use of a risk assessment tool presumed to measure danger to particular children. Recruitment of the risk speech genre reflects a need for government child protection workers to clearly articulate which children are in need of protection from “risks as they really are” while avoiding the accusation of “intervening too much.” Moreover, risk assessment tools are both audit systems and auditable systems connected through an audit chain. Auditors who represent potential blaming procedures track errors in risk valuation to specific decisions. This entrenches a separation between what we want to know about risk from what we want to do about risk. The apparently objective use of numeric values within risk assessments obscures the continuing role of subjective moral values in the practice of child protection.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.027
GPT teacher head0.365
Teacher spread0.337 · 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