Resilience and its influence on multinivel colombian business sellers
Bibliographic record
Abstract
El propósito de esta investigación es caracterizar las técnicas de resiliencia y su influencia en vendedores de empresas de multinivel colombianas, sustentado teóricamente por: Veliz (2014); Labrador (2014); Chiavenato (2012), Buendía (2011); Grotberg (2013) entre otros. Para alcanzar este propósito se realizó un estudio descriptivo, con un diseño no experimental, transeccional y de campo. La población fue de 68 unidades informantes conformada por vendedores de las empresas multiniveles: Herbalife de Colombia; Amway de Colombia y Nu Skin de Colombia; ubicadas todas en el municipio Valledupar-Departamento del Cesar en Colombia. Para la muestra se realizó una muestra censal o censo poblacional tomando en cuenta todos los sujetos. La técnica de recolección de datos fue la encuesta, y como instrumento se diseñó un cuestionario con alternativas múltiples, conformado por 36 ítems. La validez del instrumento se llevó a cabo por cinco expertos, la confiabilidad se realizó a través de la fórmula de Alpha de Cronbach la cual fue de 0,9261. Los datos se analizaron mediante la estadística descriptiva.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".