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Record W2906860309 · doi:10.1344/ridas2018.6.11

LA CONSOLIDACIÓN DEL APRENDIZAJE-SERVICIO EN FUNDESPLAI Y EN LA EDUCACIÓN EN EL TIEMPO LIBRE

2019· article· es· W2906860309 on OpenAlexaff
Susagna Escardíbul

Bibliographic record

VenueRIDAS Revista Iberoamericana de Aprendizaje y Servicio · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicSocial Sciences and Policies
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

ResumenA través de este artículo revisamos el proceso de generalización del aprendizajeservicio que ha tenido lugar en Fundesplai y en el ámbito de la educación en el tiempo libre.Son diversas las estrategias y los mecanismos que nos han llevado, en poco más de 15 años, del descubrimiento a la consolidación del aprendizaje-servicio en la cultura de la organización.Fundesplai, a través de su acción centrada en el impulso de la educación en el tiempo libre con voluntad transformadora, plantea que el aprendizaje-servicio representa la integración de dos intencionalidades que considera básicas para la organización.Por una parte, el fomento del trabajo por competencias y habilidades entre las chicas y los chicos y, por otra parte, el compromiso social como finalidad de los programas socioeducativos que lleva a cabo.La incorporación del aprendizaje-servicio en la entidad está contribuyendo a formar personas competentes pero, sobre todo, personas capaces de asumir retos, de reflexionar críticamente y de actuar en su entorno, buscando, de forma altruista, un impacto positivo en sus comunidades.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0060.007
Scholarly communication0.0120.007
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.008
GPT teacher head0.318
Teacher spread0.310 · 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 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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