MétaCan
Menu
Back to cohort
Record W2920839095

AM I MY PARTNER’S KEEPER? THE DUTY TO REPORT A COLLEAGUE

2015· article· en· W2920839095 on OpenAlexaboutno aff
John W. Chapman

Bibliographic record

VenueThe Canadian Bar Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsHonestyObligationDutyLawMisconductCompetence (human resources)Legal ethicsPolitical scienceProfessional conductEthical codeBusinessManagementEconomics
DOInot available

Abstract

fetched live from OpenAlex

The obligation to report to a law society a breach by another lawyer of ethical standards has traditionally been confined to the most serious forms of violations, such as theft. The obligation has been expanded under the recent Federation of Law Societies Model Code, now in force in many provinces. Under Rule 7-1-3(e) of the Model Code there is an obligation to report conduct that raises a “substantial question” with respect to a lawyer’s honesty, integrity or competence. A combination of Rule 7-1-3(e) and the availability of detailed information on the activities of firm members may mean that those in management roles at law firms will increasingly be under an obligation to report matters which up to now have not been frequently reported. Curiously, Ontario has decided not to include the Model Code’s Rule 7-1-3(e) its new Rules. However, it is submitted that even given this absence, the fact that power to discipline is linked to the wide phrase “professional misconduct” means that law firms in Ontario are also obliged to report conduct of their members that raises a “substantial question” with respect to that member’s honesty, integrity or competence. Still, it would be better if Ontario’s Rules were amended to include the Model Code’s 7-1-3(e) and to make the issue more clear.

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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.410
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.183
GPT teacher head0.440
Teacher spread0.257 · 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
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueThe Canadian Bar ReviewSame topicLegal Education and Practice InnovationsFrench-language works237,207