The Mexico–Guatemala Border During COVID-19: From Open Border to New Assemblage?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The dynamics at the Mexican–Guatemalan border drastically changed from the beginning of the COVID-19 pandemic. This paper deals with these transformations and tries to evidence a new assemblage that has resulted. The rationale that prevailed until the beginning of 2020 between Mexico and Guatemala was a south-north selective open border derived from migratory controls applied to travelers according to their citizenship and their US or Canadian migratory status. From March until October, 2020 the pandemic gave birth to a new north-south rationale organized around a selective closure: the Guatemalan border was totally closed except to Guatemalans that were allowed to return to their country. On the Mexican side, communitarian, municipal, and local boundaries were established to curb the spread of COVID-19.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it