Traballo social en rede no barrio de fontiñas: unha experiencia colaborativa
Bibliographic record
Abstract
espanolEl barrio de Fontinas, es una villa pequena, con un importante volumen de poblacion perfectamente delimitada, con la presencia de todo tipo de entidades, como centros educativos, centro de salud, servicios sociales, centro sociocultural, ONG…. El trabajo en red, es un “puzle” solidario para luchar en Fontinas por un barrio mas Justo. Fontinas es diversidad etnica y cultural, pluralidad, diversidad social, dotacion de recursos y de profesionales que trabajan en red, asi como juventud de sus habitantes. galegoO barrio de Fontinas, e unha “vila en pequeno”, cun importante volume de poboacion perfectamente delimitada, coa presenza de todo tipo de entidades, como centros educativos, centro de saude, servizos sociais, centro sociocultural, ONG… O traballo en rede e un “crebacabezas” solidario para loitar en Fontinas por un barrio mais xusto. Fontinas e diversidade etnica e cultural, pluralidade, diversidade social, dotacion de recursos e de profesionais que estan a traballar en rede, asi como xuventude dos seus moradores. EnglishThe Fontinas quarter is a well-delimited town-like neighbourhood with a considerable amount of inhabitants and all sorts of entities and services, including educational facilities, a health care centre, social services, a community centre, an NGO, and so on. Networking is a multifaceted supportive initiative set up to fight for a fairer quarter in Fontinas. Fontinas features ethnic and cultural diversity, plurality, social diversity and a young population; and it is duly provided with the necessary resources and networking professionals.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.015 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".