Prospecções sobre a relação entre as comunidades do bairro Reis Católicos (Alcalá de Henares, Madrid) e seus bens arqueológicos
Bibliographic record
Abstract
Convergent ideas on common interest themes have led us to start some joint studies. These researches focus on archaeological management strategies in Ibero-American cities declared World Heritage by UNESCO and also the relationships between cultural heritage and communities in the most different urban contexts. This article is dedicated to one of them. It is the result of a pilot experiment carried out in the final stages of the R & D project "The Archaeological Dimension in World Heritage Cities: Advances in Heritage Management in Alcalá de Henares, Puebla and La Habana". We intended to gather data on the relationship between the communities that inhabit the peripheral quarter of Catholic Kings and the cultural assets in this context, specifically the museum ruins of the Roman city of Complutum, for behavioral guidelines for structuring a future project. The objective of this article is to present the results of the field surveys, carried out in November 2015 and June 2016, when we tried two different methodologies, namely non - systematic observation and drift. The results obtained suggest that the museum's archaeological site is part of the everyday life of neighbors, members of a changing neighborhood, currently marked by its multicultural features and resonance with other memory milestones in the neighborhood. Keywords: archaeological heritage; communities; heritage management
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".