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Record W2810119503 · doi:10.5539/mas.v12n7p89

The Yarumos Eco-Park: Evaluation of its Current Situation with Emphasis on Territorial Accessibility

2018· article· en· W2810119503 on OpenAlexvenueno aff
Diego A. Escobar, Jorge A. Montoya, Carlos A. Moncada

Bibliographic record

VenueModern Applied Science · 2018
Typearticle
Languageen
FieldEnergy
TopicEnvironmental and Ecological Studies
Canadian institutionsnot available
FundersUniversidad Nacional de Colombia, Sede ManizalesUniversidad Nacional de Colombia
KeywordsCurrent (fluid)Environmental planningGeographySustainable developmentEnvironmental resource managementEnvironmental protectionEnvironmental sciencePolitical scienceEngineering

Abstract

fetched live from OpenAlex

The conservation and preservation of sustainable environmental spaces, fosters the integral development of the population, therefore, in this investigation the current situation analysis of Los Yarumos eco-park in Manizales, Colombia, is addressed, taking in account the current challenges, from the interior of the eco-park, aerial tramway, as well as from the territorial accessibility perspective; through the usage of computing tools (ArcMap, Microsoft Excel), facilitating mechanisms for the recovering and repowering of the ecological center. The applied methodology considers the restructuration of the city’s traffic network, along with the location and construction of the accessibility turns to the eco-park, complemented with socioeconomic variables for the coverage evaluation.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.055
GPT teacher head0.314
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
Published2018
Admission routes1
Has abstractyes

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