Psychometrics in Parenting Capacity Assessments – A problem for First Nations parents
Bibliographic record
Abstract
Parenting Capacity Assessments (PCA) are used by child protection workers to assist in determining the ability of a parent to care for their children. They may be used at various stages of the case management process but these assessments serve as powerful tools for decision making by these workers. They can also be introduced in court as part of expert testimony. Most PCAs utilize psychometric assessment measures to elicit data in respect to personality, parenting knowledge, as well as mental health and addiction issues. The authors argue that the norming of these measures has insufficient inclusion of Aboriginal peoples to be used for assessments with this population. They further argue that different approaches need to be developed as current approaches, including assessment measures, are based upon the constructs of the dominant culture, which is individualistic as opposed to the Aboriginal collectivistic approaches to parenting.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.329 | 0.510 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".