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Record W4236616772 · doi:10.1287/orsc.2016.1052

Cultural Molding, Shielding, and Shoring at Oilco: The Role of Culture in the Integration of Routines

2016· article· en· W4236616772 on OpenAlexaff
Stephanie Bertels, Jennifer Howard‐Grenville, Simon Pek

Bibliographic record

VenueOrganization Science · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsWorkaroundAction (physics)Process (computing)EmbeddednessOrganizational cultureScrutinySociologyPublic relationsBusinessKnowledge managementComputer sciencePolitical scienceAnthropology

Abstract

fetched live from OpenAlex

We explore how organizational culture shapes an organization’s integration and enactment of an external routine that is not a cultural fit. Attending to employees’ use of culture as a repertoire of strategies of action, we found that the use of familiar cultural strategies of action shaped the routine’s artifacts and expectations even before it was performed, a process we call cultural molding. Subsequently, employees drew differently on cultural strategies of action as they performed the routine, generating patterns of workarounds or hindered performances. In response to these patterns, they undertook additional cultural work to either shield their workarounds and protect them from scrutiny or shore up hindered performances. We contribute to the routine dynamics literature by highlighting the effortful cultural work involved in integrating coveted routines, furthering our understanding of routines as truces and the embeddedness of routines.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0080.005
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.231
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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

Citations108
Published2016
Admission routes1
Has abstractyes

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