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Managing hierarchy through organizational ceremonies: Insights from a disruptive event

2018· article· en· W2856030050 on OpenAlexaboutno aff
Derin Kent

Bibliographic record

VenueAcademy of Management Proceedings · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFormalityHierarchyPublic relationsEvent (particle physics)SociologyRank (graph theory)Process (computing)Political scienceSocial psychologyBusinessPsychologyLawComputer science

Abstract

fetched live from OpenAlex

Seeking flexible structures, many organizations today are abandoning the ceremonies of hierarchy. The idea is that removing dress codes, segregated workspaces, and formality with superiors will de-emphasize status distinctions and encourage members of different rank to collaborate freely. On the other hand, researchers show that hierarchies are often resilient because they are reinforced by external institutions such as professions and industry norms. This study explores the conditions under which ceremonial change helps flatten large, institutionalized organizations. We report on an inductive study of four Toronto hospitals in which scripted experiences of the medical hierarchy were undermined by a disruption. We find that disruption to the ceremonial system weakened members’ commitment to hierarchies, sometimes helping junior members bring their expertise to settings usually reserved for senior members, but at other times leading to tensions and conflict. Based on the findings, we propose that institutionalized organizations can encourage flexible use of authority in a two-step process in which ceremonies emphasizing status distinctions are first replaced then senior members build consensus around new rules, norms, and beliefs that coordinate expertise.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.749
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.242
Teacher spread0.225 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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