MétaCan
Menu
Back to cohort
Record W4396717169 · doi:10.29173/mlj988

Preface

2017· article· en· W4396717169 on OpenAlexaboutno aff
Darcy L. MacPherson

Bibliographic record

VenueManitoba Law Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

Manitoba Law Journal (MLJ) in 2010, one of the first tasks was to determine the path that the publication would follow going forward.As we re-envisioned the goal of the MLJ, our overriding aim was to produce high-caliber and lively commentary on issues of importance to our own legal community.As part of that mandate, we decided to re-integrate "Underneath the Golden Boy" (UTGB) into the annual issues of the MLJ.Inaugurated in 2000 by Dr. Schwartz, UTGB focuses on legislation and public policy, with an emphasis on issues affecting Manitobans.While many academic law journals tend to concentrate on judicial developments, statutory changes and policy debates are topics often under-analyzed by legal academy.As usual, this year's UTGB issue includes profiles of bills enacted by the Legislative Assembly of Manitoba.Since these bills were introduced, there has been a change in government.The references to representatives of the Crown (such as ministers) are made as of the time of introduction of the relevant bill.Nora Fien discusses Bill 35, an amendment to the worker's compensation scheme in Manitoba.She does a remarkable task in discussing the often-misunderstood concept of post-traumatic stress disorder (PTSD), and the value of adding a presumption that posttraumatic stress occurred at work.Two of the most interesting elements of this paper are the comparison to other Canadian jurisdictions and the analysis of various stakeholder positions with regard to Bill 35.In his contribution, Collin Intrater tackles the important issue of bad driving, whether caused by intoxicants, distractions (such as texting and *

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.823
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.315
Teacher spread0.276 · 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
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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueManitoba Law JournalSame topicCanadian Policy and GovernanceFrench-language works237,207