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Record W2810917706

Traballo social en rede no barrio de fontiñas: unha experiencia colaborativa

2018· article· gl· W2810917706 on OpenAlexaboutno aff
Eva María González Santiago, Alcira Baleato Negreira.

Bibliographic record

VenueRevista galega de traballo social · 2018
Typearticle
Languagegl
FieldSocial Sciences
TopicSocial Sciences and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)HumanitiesPopulationPolitical scienceDiversity (politics)SociologyGeographyArtDemography
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0070.006
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.020
GPT teacher head0.352
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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