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Record W3151861452 · doi:10.22191/gobernar/vol4/iss6/4

¿Responsabilidad social universitaria o extensión social? Elementos para un análisis del compromiso social de las universidades. Estudio de un programa para el desarrollo regional en Tolima, Colombia

2020· article· es· W3151861452 on OpenAlexaff
Olga Navarro-Flores

Bibliographic record

VenueGobernar The Journal of Latin American Public Policy and Governance · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicPublic Policy and Governance
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsDeliberationArgumentation theorySociologyRhetoricPoliticsPerspective (graphical)Social capitalHumanitiesPolitical scienceEpistemologySocial sciencePhilosophy

Abstract

fetched live from OpenAlex

The following analysis develops a wider research program that focuses on making a contribution to solve social conflicts through argumentation. Therefore, it presents a political sciences theory background that emphasises on applied rhetoric and deliberation in scenarios characterized by both high levels adversity and social capital. Based on this perspective of policy analysis and theory, it is possible to have a better glimpse at the complex network of social interactions laying under the process of constructions of the public sphere. Hence, this paper studies the possibilities of implementing micro-territorial deliberation instruments as conflict resolution tools for the city of Medellin (Colombia), thus, calling them deliberative experiments.

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)0.006
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0040.006
Scholarly communication0.0090.004
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.032
GPT teacher head0.307
Teacher spread0.275 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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