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Record W2053052245 · doi:10.1177/0170840612448031

Clandestine Organizations, al Qaeda, and the Paradox of (In)Visibility: A Response to Stohl and Stohl

2012· article· en· W2053052245 on OpenAlexaboutno aff
Dennis Schoeneborn, Andreas Georg Scherer

Bibliographic record

VenueOrganization Studies · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInvisibilitySociologyTerrorismVisibilityOrganization studiesCorporate governancePerspective (graphical)ConstitutionPublic relationsOrganizational communicationLawPolitical scienceSocial psychologySocial scienceManagementPsychology

Abstract

fetched live from OpenAlex

In a recent article published in this journal, Stohl and Stohl (2011) examine the phenomenon of clandestine organizations from a communication-centered perspective. The authors draw primarily on the work of the ‘Montreal School’ of organizational communication, which stresses the constitutive role of communication for organizations. In this response, we argue that the Stohls’ paper does not make full use of the paradigmatic turn that the Montreal School offers to organization studies. In our view, the authors overemphasize the role of communication among organizational members in the constitution of organizations. In contrast, we argue that organizations can also be ‘talked into existence’ by the communicative acts of third parties (e.g., the media), a view that is consistent with the Montreal School’s work. Moreover, drawing on the Stohls’ central example of the terrorist organization al Qaeda, we suggest that the attribute ‘clandestine’ does not capture the essence of that organization because it is characterized by extreme invisibility of its governance structures and by extreme visibility of its terrorist activities. We believe it is the reversion of the relation between invisibility and visibility that differentiates al Qaeda from legitimate organizations such as private businesses and ensures its perpetuation against all odds.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.018
GPT teacher head0.257
Teacher spread0.239 · 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 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

Citations73
Published2012
Admission routes1
Has abstractyes

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