Sistematización del proceso de prospectiva territorial construido en el Huila durante el periodo 1990-2010 con el soporte de la Universidad Surcolombiana
Bibliographic record
Abstract
La Prospectiva Estratégica es considerada como una disciplina científica que estudia el futuro con el fin de diagnosticarlo y construirlo desde el presente. Algunos autores la denominan la ciencia de la esperanza. Según este enfoque, al “visionar estratégicamente un territorio” (construyendo escenarios futuros) se le conoce como Prospectiva Territorial. Varios son los ejercicios de futuro que se han realizado en el territorio del Huila, tales como el Plan Integral de Neiva (PIDNE II: 1990-2015), la Visión Huila 2020, el Plan Estratégico de Ciencia, Tecnología e Innovación del Huila: 2005-2020, el Plan Decenal de Cultura del Huila 2011-2020, entre otros, los cuales han proporcionado líneas estratégicas para la planificación de su futuro en el 2020. En este contexto histórico, por tanto objetivo y metodológico, el sistematizar las más recientes experiencias prospectivas del Huila posibilita identificar las intencionalidades que son comunes en la sociedad huilense, como también la ruta estratégica posible contenida en ellos hacia el año 2020.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".