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Record W4232803569 · doi:10.31235/osf.io/8qzsr

Status-Authority Asymmetry between Professions: The Case of 911 Dispatchers and Police Officers

2021· preprint· en· W4232803569 on OpenAlexafffund
Arvind Karunakaran

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsMcGill University
FundersMcGill University
KeywordsOfficerCompliance (psychology)PsychologyTrustworthinessPublic relationsSocial psychologySet (abstract data type)Political scienceLaw

Abstract

fetched live from OpenAlex

Status–authority asymmetry in the workplace emerges when lower-status professionals are ascribed with the functional authority to oversee higher-status professionals and elicit compliance from them on specific processes or tasks. Eliciting such compliance is ridden with challenges. How and when can lower-status professionals with functional authority elicit compliance from higher-status professionals? To examine this question, I conducted a 24-month ethnography of 911 emergency coordination to understand how 911 dispatchers (lower-status professionals with functional authority) can elicit compliance from police officers (higher-status professionals). I identify a set of relational styles—entailing interactional practices and communication media—enacted by the dispatchers. My findings suggest that dispatchers whose relational styles involved customizing the workflow via private communications with police officers or privately escalating cases of officers’ noncompliance to supervisors did not elicit greater compliance. In contrast, dispatchers who did elicit compliance used a peer publicizing relational style: they shared news of the noncompliant behavior—generally in a bantering, humorous manner—with an officer’s immediate peers using a communication medium that all officers in the police unit could hear. Publicizing noncompliant behavior among the immediate peers triggered the officer to self-discipline, as that noncompliant officer’s trustworthiness was on the line in front of the peer group. More generally, through enrolling an alter’s peers in the compliance process, the lower-status professionals with functional authority could generate second-degree influence and elicit compliance from the higher-status professionals.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.111
GPT teacher head0.445
Teacher spread0.334 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2021
Admission routes2
Has abstractyes

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