Bibliographic record
Abstract
El presente trabajo tiene el fin de mostrar el modelo de negocio de Almacenes Eco y el plan de empresa para el mismo. El objetivo principal es el diseno del plan para un primer establecimiento fisico que luego sera escalable y repetible para los siguientes almacenes. Las caracteristicas principales de este proyecto son: la propuesta de valor, modelo de negocio, orientacion estrategica, analisis de mercado, plan financiero, plan economico, estrategias de mercadeo, operativa y administrativa. El surgimiento del proyecto fue a causa de la inexistencia de cadenas de almacenes que ofrecen productos economicos de buena calidad en Colombia. En paises como Inglaterra, Estados Unidos y Canada existen cadenas de almacenes como: Poundland, 99p stores y family dollar quienes ofrecen productos relacionados con bebidas y comidas; salud y belleza; jardineria y hogar; entretenimiento; celebraciones y fiestas; ninos y bebes y todo lo relacionado con las temporadas del ano a un solo precio o un precio inferior al senalado. La metodologia empleada para la investigacion se realizo con una serie de encuestas, entrevistas, investigacion documental e investigacion de campo que permitio conocer las necesidades reales de los habitantes de la localidad de suba.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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.
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".