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Record W7019290025

Filantropía para la innovación social: estrategias colaborativas e integradoras para los Objetivos de Desarrollo Sostenible (ODS)

2020· book-chapter· es· W7019290025 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRUC (Universidade Da Coruña) · 2020
Typebook-chapter
Languagees
FieldSocial Sciences
TopicSocial Issues and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodPretextHyporeflexiaLiquation
DOInot available

Abstract

fetched live from OpenAlex

[Resumen] La innovación social consiste en procurar soluciones novedosas a complejos problemas de la sociedad actual, incluidos los retos de sostenibilidad. Los Objetivos de Desarrollo Sostenible (ODS) 2 (Hambre cero), 3 (Salud y bienestar) y 12 (Producción y consumo responsables) confluyen en el desafío de transformar la gobernanza de los sistemas alimentarios para garantizar su seguridad y sostenibilidad. Se presenta una iniciativa innovadora (colaborativa e integradora) en este ámbito, liderada por la fundación filantrópica privada J.W. McConnell. Se contextualizan el problema del acceso a alimentos saludables y el movimiento social cristalizado en la alianza Food Secure Canada para conseguir sistemas alimentarios sostenibles en Canadá. Dentro de la cadena de suministro institucional destaca el programa “Nourish” (“Nutrir”), dedicado a transformar la gobernanza alimentaria en el sector sanitario a través de: 1) la comprensión de la conexión entre alimentación, salud y curación; y 2) la construcción de una comunidad nacional de innovadores que mejoren los menús e implanten la compra sostenible.

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.

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)0.001
metaresearch head score (Gemma)0.000
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 categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.886
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.046
GPT teacher head0.323
Teacher spread0.277 · 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