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Record W3047106860 · doi:10.1108/qrom-01-2020-1887

Organizational memorialization: spatial history and legitimation as chiasms

2020· article· en· W3047106860 on OpenAlexaff
François‐Xavier de Vaujany, Emmanuelle Vaast, Stewart Clegg, Jeremy Aroles

Bibliographic record

VenueQualitative Research in Organizations and Management An International Journal · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsLegitimationMemorializationLegitimacySociologyConceptualizationOrganizational studiesComparative historical researchValue (mathematics)Organizational spaceOrganization studiesEpistemologyPolitical scienceSocial scienceOrganizational culturePublic relationsLawPoliticsOrganizational engineeringComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to understand how historical materialities might play a contemporary role in legitimation processes through the memorialization of history and its reproduction in the here-and-now of organizations and organizing. Design/methodology/approach The authors briefly review the existing management and organization studies (MOS) literature on legitimacy, space and history; engage with the work of Merleau-Ponty to explore how organizational legitimacy is managed in time and space; and use the case of two Parisian universities to illustrate the main arguments of the paper. Findings The paper develops a history-based phenomenological perspective on legitimation processes constitutive of four possibilities identified by means of chiasms: heterotopic spatial legacy, thin spatial legacy, institutionalized spatial legacy and organizational spatial legacy. Research limitations/implications The authors discuss the implications of this research for the neo-institutional literature on organizational legitimacy, research on organizational space and the field of management history. Originality/value This paper takes inspiration from the work of Merleau-Ponty on chiasms to conceptualize how the temporal layers of space and place that organizations inhabit and inherit (which we call “spatial legacies”), in the process of legitimation, evoke a sensible tenor.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.768
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0000.000
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 head0.108
GPT teacher head0.399
Teacher spread0.291 · 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

Citations9
Published2020
Admission routes1
Has abstractyes

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