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Record W1605951781

New directions in restorative justice : issues, practice, evaluation

2011· book· en· W1605951781 on OpenAlexaboutno aff
Elizabeth Elliott, Robert M. Gordon

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRestorative justiceCriminologyEconomic JusticeCriminal justiceTheory of criminal justiceMainstreamIndigenousSociologyPolitical sciencePsychologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Part 1: Restorative Justice and Youth 1. Towards Restoration As the Mainstream In Youth Justice, Lode Walgrave 2. Restorative Justice In Schools, Brenda Morrison 3. Achieving Effective Outcomes In Youth Justice: Implications of New Research For Principles, Policy and Practice, Gabrielle Maxwell 4. The Canadian Youth Criminal Justice Act and Restorative Justice, Serge Charbonneau Part 2: Aboriginal Justice and Restorative Justice 5. Aboriginal Justice and Restorative Justice, Jonathan Rudin 6. Indigenous Youth and the Criminal Justice System In Australia, John Boersig 7. Gladue Was A Woman: The Importance of Gender In Restorative Based Sentencing, Josephine Savarese Part 3: Victimization and Restorative Justice 8. A Tale of Two Studies: Restorative Justice From A Victims' Perspective, Kathleen Daly 9. Restorative Justice: A Healing Approach To Elder Abuse, Arlene Groh 10. Exploring Treatment and Trauma Recovery Implications of Facilitating Victim Offender Encounters In Crimes of Severe Violence: Lessons From the Canadian Experience, David Gustafson 11. The Involvement of Insurance Companies In Restorative Processes, Melissa Oullette Part 4: Evaluating Restorative Justice 12. Penetrating the Walls: Implementing A System-Wide Restorative Justice Approach In the Justice System, Don Clairmont 13. Restorative Justice In Cases of Serious Crime: An Evaluation, Tanya Rugge and Robert Cormier 14. Evaluating Conferencing For Serious Juvenile Offenders, Inge Vanfraechem 15. Evaluation and Restorative Justice Principles, Howard Zehr

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.323
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.086
GPT teacher head0.413
Teacher spread0.328 · 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 teacher head, not a consensus.

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

Citations78
Published2011
Admission routes1
Has abstractyes

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