Costeo ABC /ABM como herramienta de control en la gestión empresarial de la Organización de Pueblos de Chibuleo (ONOPUCH)
Bibliographic record
Abstract
Recibido: 1 de septiembre de 2019Aprobado: 30 de septiembre de 2019El costeo ABC/ABM es una herramienta de control de costos que permite a las empresas tener un desempeño efectivo; los modelos de costos son importantes para la integración de las operaciones con el fin de mejorar la información financiera para la correcta toma de decisiones; con esta determinación, el presente artículo tiene como objetivo, establecer los costos reales en cada proceso productivo de la Organización de Pueblos de Chibuleo (ONOPUCH) con la utilización de un sistema de costeo ABC/ABM. La investigación se desarrolló bajo una metodología mixta, combinando datos cualitativos y cuantitativos, mediante la aplicación de encuestas y entrevistas, evidenciándose como principal resultado la precariedad en la determinación de los costos de producción, por consiguiente, se justifica la implementación de un sistema de costeo ABC/ABM cuyos componentes sean en beneficio de la organización, generando una ventaja competitiva en el sector.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".