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Record W3161106093 · doi:10.55765/atps.i2.143

Dinamizacion en proyectos socioculturales gestionados por jovenes

2011· article· es· W3161106093 on OpenAlexaff
Antonio Alcántara Alcántara

Bibliographic record

VenueRevue internationale animation territoires et pratiques socioculturelles · 2011
Typearticle
Languagees
FieldComputer Science
TopicEducational Innovations and Technology
Canadian institutionsUniversité de MontréalUniversité LavalUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArtPhilosophy

Abstract

fetched live from OpenAlex

Actualmente, la juventud es uno de los ámbitos de acción de los proyectos socioculturales, para fomentar su implicación y desarrollo en esta sociedad en transición. Para que esto suceda es necesario la utilización de herramientas y metodologías que den respuesta creativas, donde la frescura sea básica, así como un aprendizaje de maneras de funcionar basadas en valores y practicas como el respeto, el dialogo, el consenso o el bien a la comunidad. Experiencias donde hay un tejido asociativo fuerte y plural donde la acción dinamizadora de los agentes sociales fomenta la participación y la implicación juvenil en la transformación de su realidad mas inmediata garantiza un buen estado de salud democrática así como un enorme beneficio social.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0070.002
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.039
GPT teacher head0.298
Teacher spread0.259 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2011
Admission routes1
Has abstractyes

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