Bibliographic record
Abstract
The lawyer's role in representing children has inspired discussion and debate for over a quarter of a century. The scope of the lawyer's duty of confidentiality to a child client is a crucial component of that debate. Advocates of a best interests approach generally favor either a relaxed duty of confidentiality or recognition of the lawyer's ability to advocate for a position against the child client's wishes. Champions of a zealous lawyering conception favor a more stringent duty of confidentiality. Each camp must also grapple with ethical rules that permit a lawyer to act to protect the interests of a client of questionable capacity. This article argues that lawyers for children should consider the local competencies of all of the players in the child welfare system, including courts, child welfare agencies, and lawyers themselves. Based on this assessment, lawyers should apply pragmatic criteria for disclosure, centering on the likelihood and gravity of future harm, the child's understanding of the consequences of the decision, and the availability of alternatives.
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 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 | 0.019 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.024 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".