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Educação museal na perspectiva afro-brasileira, sob as bençãos dos orixás

2023· article· es· W4400772693 on OpenAlexaff
Jorge Alexander Rubio-Parada, Antonio Navarro Durán

Bibliographic record

VenueMundo FESC · 2023
Typearticle
Languagees
FieldEnvironmental Science
TopicOil Palm Production and Sustainability
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsElaeis guineensisBiologyHumanitiesPalm oilArtFood science

Abstract

fetched live from OpenAlex

El monocultivo de palma de aceite (Elaeis guineensis) requiere de grandes extensiones, en Norte de Santander cerró el 2020 con más de 27.528 hectáreas sembradas, esta expansión implica una transformación en las coberturas del suelo y por lo tanto una afectación a la fauna y flora de la región. El objetivo del estudio fue evaluar ecológicamente fincas palmeras, para identificar las coberturas del suelo, a presencia-ausencia de mamíferos y determinar dentro de estas, las especies sombrilla. Las coberturas de uso del suelo se identificaron mediante técnicas de la Ecología del Paisaje y los Sistemas de Información Geográfica, se determinaron cuatro coberturas de uso del suelo, asimismo se realizaron monitoreos de fauna en fincas palmeras; El inventario se realizó de manera directa con recorridos en las fincas palmeras y de manera indirecta mediante entrevistas y la identificación de rastros como huellas, heces, entre otros; además se hicieron monitoreos con cámaras trampas, con un esfuerzo de monitoreo de 1004 noches. Durante los recorridos se identificaron directamente 4 especies de mamíferos y mediante los demás métodos indirectos se registraron 14 especies para un total de 18 especies mamíferos encontrados, de estas especies cuatro fueron identificadas como especies sombrilla: Puma concolor, Leopardus pardalis, Odocoileus virginianus y Cuniculus paca. Se concluyó que existe un desconocimiento general sobre la biología de las especies mamíferos presentes en el área de estudio, además la necesidad de elaborar e implementar planes de conservación que incluyan la preservación de zonas con alto valor de conservación y el establecimiento de corredores biológicos en sectores altamente urbanizados.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.021

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 head0.017
GPT teacher head0.288
Teacher spread0.271 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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