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Record W3154621185

RECONCILIATION AND ETHICAL LAWYERING: SOME THOUGHTS ON CULTURAL COMPETENCE

2019· article· en· W3154621185 on OpenAlexaffabout
Pooja Parmar

Bibliographic record

VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCompetence (human resources)IndigenousConversationLegal educationAccountabilityPolitical scienceCommissionPublic relationsLegal ethicsSociologyLawPsychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

This paper critically examines the turn to cultural competence as a response to the Truth and Reconciliation Commission (“TRC”) Calls to Action 27 and 28. I suggest that an uncritical embrace of cultural competence, as currently understood, is inadequate and might even prove to be counter-productive despite best intentions. While acknowledging that the focus on cultural competence is often driven by genuine commitments to reconciliation within the legal profession in Canada, I outline concerns which show that a limited and deficient conception of cultural competence is unlikely to assist lawyers in representing Indigenous clients better or change Indigenous peoples’ experience with the legal system more broadly. I suggest that TRC Calls to Action demand a response that centres accountability, and that the legal profession must recognize Calls 27 and 28 as a unique opportunity to innovate and lead by rethinking legal education, competence, and ethical lawyering in a multi-juridical space such as Canada. I conclude with two suggestions for taking this conversation forward.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.003
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 head0.027
GPT teacher head0.362
Teacher spread0.336 · 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 designTheoretical or conceptual
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

Citations7
Published2019
Admission routes2
Has abstractyes

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