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Record W176171999 · doi:10.29173/alr393

Child Representation in Alberta: Role and Responsibilities of Counsel for the Child in Family Proceedings

2015· article· en· W176171999 on OpenAlexaffvenueabout
Nicholas Bala

Bibliographic record

VenueAlberta Law Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsGuardianLawLegislatureGovernment (linguistics)Best interestsLegal guardianAction (physics)Political scienceFamily lawRepresentation (politics)Professional conductSociologyPolitics

Abstract

fetched live from OpenAlex

There has been an increase in the number of family law cases in Alberta where counsel is appointed to represent a child, but there is a lack of guidance and there is controversy about the role and responsibilities of counsel for the child. In other jurisdictions government agencies, the courts, the legislature or the law society have provided clear direction, though taking different approaches to resolving the controversies about counselfor the child. This article reviews the different roles adopted by counsel appointed to represent a child in afamily proceeding: the child advocate, the best interests guardian and the friend ofthe court. It is argued that in Alberta there is no single role that is appropriatefor alt cases. While the child's wishes should always be placed before the court, counsel should only advocate based on those wishes if the child has capacity to instruct counsel. This article offers detailed suggestions for the professional responsibilities of counsel for the child, and concludes by making recommendationsfor action by the Law Society ofAlberta and Government of the Province if these bodies are to meet their responsibilities to children.

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)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.079
Threshold uncertainty score0.319

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.005
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0020.001
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 head0.046
GPT teacher head0.340
Teacher spread0.294 · 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 designNot applicable
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

Citations5
Published2015
Admission routes3
Has abstractyes

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