Darien Gap Forested Jungles and Waterways (APDDGFJW) of Latin America and the Caribbean (LAC) in the Post-COVID 19 of the 21st Century
Bibliographic record
Abstract
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 ......
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".