Incidencia de la inflación en la toma de decisiones de inversión en las PYMES durante el periodo 2020-2023
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Este estudio examinó cómo la inflación afecta las decisiones de inversión de las PYMES en Colombia entre 2020 y 2023, un tiempo caracterizado por gran inestabilidad económica y constantes aumentos de precios. Se observó que, debido al aumento en los costos operativos, muchas PYMES pusieron en primer lugar estrategias para sobrevivir en lugar de enfocarse en crecer. El acceso limitado al crédito, debido a la subida de las tasas de interés, redujo aún más su capacidad para invertir en tecnología, infraestructura o personal. También, las decisiones de inversión cambiaron según el sector económico, siendo más cuidadosas en campos como el comercio minorista y los servicios personales.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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 it