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Record W143029269

CRISIS MANAGEMENT AND ORGANIZATIONAL DEVELOPMENT: TOWARDS THE CONCEPTION OF A LEARNING MODEL IN CRISIS MANAGEMENT

2007· article· en· W143029269 on OpenAlex

Why this work is in the frame

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

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOrganization development journal · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSupply Chain Resilience and Risk Management
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCrisis managementCoping (psychology)Organizational learningField (mathematics)Political scienceProcess managementKnowledge managementBusinessPublic relationsPsychologyManagementEconomicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

The field of crisis management currently faces two important limitations. First, this field has been distinguished by two major approaches to date, crisis management planning and analysis of organizational contingencies. However, despite what we have learned from these approaches, neither seems to lead to a crisis management learning model that fosters organizational resilience in coping with crises. Secondly, researchers have studied a number of events as case studies but have never synthesized these case studies. Consequently, each crisis seems idiosyncratic and administrators continue to repeat the same errors when a crisis occurs. The research proposal presented in this paper 1 aims to remove these limitations by bringing together two apparently opposing fields of study, that of crisis management, characterized by what are perceived as specific events, and that of organizational development, characterized by the strengthening of organizations’ capacities to cope with lasting changes. This paper proposes to explore their potential to work together theoretically and empirically through a research design.

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.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.438
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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