Periodismo en línea y desarrollo territorial. El caso del sitio Graffici.ca en Canadá
Bibliographic record
Abstract
Este texto presenta el estudio del caso del sitio en línea Graffici.ca nacido en 2011 en la Gaspésie, una región de la provincia de Quebec, en el extremo oriental de Canadá. Se sustenta en una observación participante de dos años y medio, tiempo en el que este sitio se formó a partir de una movilización para crear una herramienta orientada al desarrollo de este territorio. Este proyecto surgió con base en el imaginario sobre el “servicio público”, que ha dominado la reflexión sobre el periodismo a fines del siglo XX. Este caso es un ejemplo de la disloca- ción del binomio histórico territorio-medios que está en curso bajo el impacto de los medios transterritoriales, principalmente la televisión satelital y el internet. El estudio concluye explicando que Graffici.ca, a pesar de su intención de dirigirse sólo a la comunidad gaspesiana, se ha posicionado como un servicio público de información, no especializado, entre los demás medios de la Gaspésie (traducción de Salvador De León Vázquez).
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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 | 0.005 |
| Science and technology studies | 0.017 | 0.016 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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".