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Record W4408529998 · doi:10.1590/scielopreprints.11493

CULTURA DE LAS PROFESIONES EN LA EMPRESA ASTILLEROS DEL ORIENTE. CONSIDERACIONES TEÓRICO METODOLÓGICAS

2025· preprint· en· W4408529998 on OpenAlexaff
José Alexei Riverí Juliens, Yamirka Robert Brady, Lucelia Labañino Pérez

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Management and Innovation
Canadian institutionsASTER
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

The complexities of the Cuban context need solutions that articulate realities, strategies, and political and scientific perspectives; however, despite the diversity of disciplines, approaches, studies, and authors that approach the organizational culture and the theory of professions, the use of the concept: culture of professions, is barely noticeable in national and foreign research on organizational cohorts, at a time when this category needs to acquire more significant value. This work aimed to characterize the culture of professions in the Astilleros del Oriente (ASTOR) Company to identify theoretical-methodological guidelines for its use in the workplace. This investigation was carried out as a case study in the dependences of ASTOR, in Santiago de Cuba, with a population of 296 people of different professions; it was necessary to harmonize methods and technical qualitative and quantitative as interviews, surveys, observations, and analysis of documents, being applied a simple random sampling in the case of the survey and intentional samplings for the other instruments. The main result was the theoretical-methodological construction of the concept culture of professions and the identification of rules for its use in the labor sphere employing the characterization of the organization study object.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.230
Threshold uncertainty score0.458

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.019
GPT teacher head0.262
Teacher spread0.243 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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