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Record W1915281770

¿Es posible una gestión humana no funcionalista? Descripción de un modelo estratégico de gestión de personal

2010· article· es· W1915281770 on OpenAlexaff
Héctor L. Bermúdez Restrepo

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2010
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicOrganizational Management and Innovation
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSociologyPerspective (graphical)IdeologyOrder (exchange)Set (abstract data type)Knowledge managementPower (physics)Human resourcesHuman resource managementManagementManagement scienceComputer sciencePolitical scienceBusinessEngineeringArtificial intelligenceEconomicsPolitics
DOInot available

Abstract

fetched live from OpenAlex

This paper describes a human management model as conceived in organizations that carry out a strategic direction of staff, based on a critical look of traditional management and some of its notions, such as the classical perspective of strategic addressing and human resources management. The privileged theoretical framework is the epistemological ground of the organizational theory and some of its sociological resources. In addition to the documentary review and the proposal of experts in consulting, a group of graphics made under the basic logic of set theory, designed from the analysis of several Colombian organizations, are presented. The main finding is that despite the efforts of executives, consultants and scholars to build management models different from functionalists, the way they have been thought in order to make them more strategic has made them still more functionalists that in the traditional approach. The strategic human management reproduces, with enormous power, the ideology of the macroeconomic model.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.015
Scholarly communication0.0100.008
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.133
GPT teacher head0.457
Teacher spread0.324 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicOrganizational Management and InnovationFrench-language works237,207