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Record W4287455470 · doi:10.5040/9781509951000

What is a Family Justice System For?

2022· book· en· W4287455470 on OpenAlexaboutno aff

Bibliographic record

VenueHart Publishing eBooks · 2022
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsAusterityEconomic JusticePolitical scienceDispute resolutionFamily lawElement (criminal law)Public administrationLawCriminologySociology

Abstract

fetched live from OpenAlex

In a time of austerity, medical emergency, and limited public funding, this book explores the role of the family justice system and asks whether it has a function beyond decision-making in dispute resolution. Might a family justice system even help to prevent or minimise conflict as well as resolving dispute when it arises? The book is divided into 4 parts, with contributions from 22 legal scholars working across Europe, Australia, Argentina and Canada. Part 1 analyses what constitutes a family justice system in different jurisdictions, and how a welfare element is included in the legal framework; Part 2 looks at those engaged with a family justice system as professionals and users; Part 3 examines new ways of working within a family justice system and questions the move towards privatisation; and Part 4 explores recent major changes of direction for the family justice systems of Australia, Argentina, Turkey, Spain, and Germany.

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)0.002
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.007
Scholarly communication0.0100.009
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.003

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 head0.037
GPT teacher head0.237
Teacher spread0.199 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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