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Record W4320075210 · doi:10.17533/udea.espo.n64a02

Análisis de la Estrategia Nacional de Economía Circular de Colombia a partir de dos modelos

2022· article· es· W4320075210 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEstudios Políticos (Medellín) · 2022
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesWelfare economicsEconomicsPhilosophy

Abstract

fetched live from OpenAlex

El propósito de este artículo es mostrar los resultados de la revisión del alcance y las limitaciones de la Estrategia Nacional de Economía Circular (ENEC) del gobierno de Colombia a partir de los modelos analíticos del policy mix y en las doce estrategias circulares. Los resultados principales de este estudio son, en primer lugar, que la ENEC moviliza algunos instrumentos típicos de una política pública para contribuir a la transición de una economía lineal a una economía circular. En segundo lugar, la ENEC se centra en sectores industriales en general y en el último eslabón de la cadena de producción. En tercer lugar, si bien la economía circular tiene el potencial de vincular políticas relacionadas con la prevención del uso de recursos y el comportamiento del consumidor, estas dimensiones preventivas aún son incipientes en la versión de la ENEC analizada. La articulación de políticas del sector empresa-Estado-academia con pequeños productores e informales, así como con comunidades rurales y urbanas, es necesaria para lograr una transición hacia una economía circular más inclusiva e integradora.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.240
Teacher spread0.219 · 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