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Record W2116264612

La Formación en Administración Pública en el Contexto de la Mundialización: La Importancia de ir más allá de los Conceptos

2002· article· es· W2116264612 on OpenAlexaboutno aff
Denis Proulx, Fabiana Machiavelli

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2002
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicOrganizational Management and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsUniversalizationGlobalizationContext (archaeology)Interpretation (philosophy)Facet (psychology)Political sciencePhenomenonOrder (exchange)HumanitiesSociologyWelfare economicsEpistemologyPhilosophyPsychologyBusinessGeographySocial psychologyLawEconomicsLinguistics
DOInot available

Abstract

fetched live from OpenAlex

The impact and the advantages of the globalization on the public management and his managers are indisputable. Nevertheless, this one phenomenon has another facet: the universalization of the concepts. The globalization leads us to want standardize the manners of management and the incomprehension of the cultural differences that ensues from it seems to be one of the reasons for failure that they have known several international programs of formation in terms of results. The formation in public administration is tied to a series of factors that change according to the societies and the organisations and it is essential take them in order that the formation is effective, particularly when one intervenes in a different context of the own. The importance of considering these differ and its implications in the formation are fundamental since what is looked is the improvement of the practices of management. The aim of this article is to illustrate these from a study realised with Mexican and Canadian managers. As the presented results show it, it is evident that the Canadian and Mexican managers though they coincide in demonstrating his agreement concerning the concepts and ideas that form a part of the domineering speech in management, do not grant the same significance to them. In fact, it seems to be clear that they guide different principles what does that the interpretation and the practical application of these concepts turns out to be different.

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)0.014
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0070.051
Scholarly communication0.0320.012
Open science0.0010.006
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.277
Teacher spread0.265 · 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 designNot applicable
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
Published2002
Admission routes1
Has abstractyes

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