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Record W1456441926 · doi:10.5040/9781782259725

Delivering Family Justice in the 21st Century

2015· book· en· W1456441926 on OpenAlexaboutno aff
Mavis Maclean, John Eekelaar, Benoît Bastard

Bibliographic record

VenueBloomsbury Publishing (UK) eBooks · 2015
Typebook
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticePolitical scienceSociologyCriminologyLaw

Abstract

fetched live from OpenAlex

<JATS1:p>Family justice requires not only a legal framework within which personal obligations are regulated over the life course, but also a justice system which can deliver legal information, advice and support at times of change of status or family stress, together with mechanisms for negotiation, dispute management and resolution, with adjudication as the last resort.</JATS1:p> <JATS1:p>The past few years have seen unparalleled turbulence in the way family justice systems function. These changes are associated with economic constraints in many countries, including England and Wales, where legal aid for private family matters has largely disappeared. But there is also a change in ideology in a number of jurisdictions, including Canada, towards what is sometimes called neo-liberalism, whereby the state seeks to reduce its area of activity while at the same time maintaining strong views on family values. Legal services may become fragmented and marketised, and the role of law and lawyers reduced, while self-help web based services expand.</JATS1:p> <JATS1:p>The contributors to this volume, share their anxieties about the impact on the ability of individuals to achieve fair and informed resolution in family matters.</JATS1:p>

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 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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.735
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.275
Teacher spread0.223 · 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; both teacher heads agree on what is shown here.

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

Citations16
Published2015
Admission routes1
Has abstractyes

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