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Must Heads Roll? A Critique of and Alternative Approaches to Swift Blame

2017· article· en· 20 citations· W2608404711 on OpenAlex· 10.5465/amp.2015.0118

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: ObservationalConsensus signal: none
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.922
Threshold uncertainty score
0.600
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.077
GPT teacher head0.303
Teacher spread
0.225 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

When mistakes or perceived wrongdoings occur in the workplace, managers—like most human beings—demonstrate the tendency to locate someone to blame, including assigning responsibility and sanctioning perceived wrongdoers for their actions. We highlight that although this response can be motivated by organizational, legal, and psychological factors, blame can be detrimental to the organization and its employees when it occurs in a spontaneous and nondeliberative manner, which we label swift blame. We argue that swift blame can involve distorted perceptions and judgment, exacerbate conflict, erode employee engagement, and stifle organizational learning. We further argue that managers have a special responsibility to thoughtfully and carefully consider how they react to perceived wrongdoings. Drawing from dual processing theory of cognition, we propose that managers can respond more effectively by adopting perspectives that slow down these tendencies and promote more thoughtful reactions. To this end we highlight research opportunities for three alternatives to swift blame: (a) a no-blame approach, (b) systems of inquiry and accountability, and (c) mindfulness training.

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.

The record

Venue
Academy of Management Perspectives
Topic
Job Satisfaction and Organizational Behavior
Field
Business, Management and Accounting
Canadian institutions
Simon Fraser UniversityUniversity of British Columbia
Funders
not available
Keywords
BlameAccountabilityPerceptionMindfulnessSocial psychologySwiftPsychologyPublic relationsSociologyPolitical scienceLawComputer science
Has abstract in OpenAlex
yes