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Darien Gap Forested Jungles and Waterways (APDDGFJW) of Latin America and the Caribbean (LAC) in the Post-COVID 19 of the 21st Century

2024· article· en· W4392595150 on OpenAlexaboutno aff
Njuafac Kenedy Fonju, Habibu Amadou

Bibliographic record

VenueCross-Currents An International Peer-Reviewed Journal on Humanities and Social Sciences · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgroforestry and silvopastoral systems
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansCoronavirus disease 2019 (COVID-19)GeographySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakBiologyVirologyPolitical scienceOutbreakMedicineLaw

Abstract

fetched live from OpenAlex

This paper deals with the identification of the Darien Gap as the main channel of continuous clandestine, illegal, undocumented and irregular migratory pathways of African Youths which caught our attention in the post-COVID 19 of the 21st Century with gross ambitions to get richer faster through the slogan of greener pastures with the majority giving off their lives ignorantly and embarrassingly to tilapias of the Mexican deep rivers in an attempt to cross to North American countries of United States and Canada. The end results was the untimely psychological tortures of their parents and sporadic internal crises of blaming even those who never contributed to such unwanted illegal movements but raising voices to educate on the dangers of un official migration both internally or externally. In fact the majority of the youths having such ambitions of illegal crossing of the Darien Gap are totally ignorant of the nature of the route which has been above the imagination of top ranking Engineers to open it to be more possible for vehicles to use. The hilly, mountainous, muddy, swampy, smugglers, kidnapping, ripping and all sorts of trafficking are characteristics of the Darien Gap which none of the agent involve in such illegal route can account to their victims. It is just certain that any of such irregular extra-continental travelling without passing through official diplomatic services which moderate bilateral relations can only be termed as above. It is also our findings that the clandestine pathway routes those using are passing is characterized with wild animals, dangerous human criminals of trafficking, bandits, muddy, dense forested, not motorable as even top engineers have not been able to successfully mapped out a good road that can be constructed with the Darien deadly jungle. Our inspirations were drawn from lecturing of Post-Graduate students on the question of International Migration and Black Diasporas around the World during which most of them were ......

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.338
Teacher spread0.246 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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