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Record W7119515939 · doi:10.1093/jpo/joaf013

Deference to authority: how seniority influences how attorneys view professional obligations

2025· article· en· W7119515939 on OpenAlexaffabout
Albert Yoon

Bibliographic record

VenueJournal of Professions and Organization · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSeniorityDeferenceProfessional conductProfessional responsibilityLegal ethicsTransactional leadershipLegal professionWork (physics)

Abstract

fetched live from OpenAlex

Abstract In our increasingly transactional world—where tasks routinely involve individuals, firms, and governments—lawyers play an integral role. A well-functioning society depends on a commitment to the rule of law, which lawyers help promote, ex post and ex ante. For this reason, our legal system also relies on lawyers acting in accordance with their professional obligations. While legal profession scholars have richly explored how lawyers should conduct themselves, how lawyers navigate ethical challenges in practice settings remains underexplored. This article seeks to bridge this gap. We conduct an experiment involving licensed lawyers in Alberta, Canada, in which we randomly assign respondents two fact scenarios in which ethically questionable conduct is committed by either a senior or junior colleague within the respondents’ firm. We find respondents from both groups provided near-identical responses for each scenario when asked how they would act. And when asked how most other lawyers would respond, each group responded similarly but, in each scenario, believed their fellow lawyers were less likely to find the colleague acted in violation of the professional rules. This gap was largest when respondents evaluated the conduct of a senior colleague whom most believed had violated the professional rules. Our findings suggest that lawyers believe the professional rules constrain their own actions more than those of their professional peers. In the real-world, where lawyers of varying seniority routinely work with one another on behalf of clients, these contrasting self-other perceptions may influence how they act in real-world, ethically challenging contexts.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.508
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.035
GPT teacher head0.397
Teacher spread0.362 · 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 designObservational
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
Published2025
Admission routes2
Has abstractyes

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