MétaCan
Menu
Back to cohort
Record W4387573415 · doi:10.1080/08865655.2023.2261471

Border Jobs: The Business of Work on the Colombia/Venezuela Border

2023· article· en· W4387573415 on OpenAlexvenueno aff
Juan Thomas Ordóñez, Hugo Eduardo Ramírez Arcos

Bibliographic record

VenueJournal of Borderlands Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Health, and Social Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsAllianceWork (physics)Citizen journalismState (computer science)Promotion (chess)Political scienceEthnographySociologyEconomyLawEconomicsEngineering

Abstract

fetched live from OpenAlex

This article explores the life and work of Venezuelan migrants in the Colombia/Venezuela border neighborhood of La Parada, in the Colombian municipality of Villa del Rosario, Department of Norte de Santander. We use ethnographic fieldwork, complemented with a simple survey we helped organize in the area, to show how border jobs are shaped and depend upon a variety of actors such as state institutions, non-governmental and other humanitarian organizations, members of guerrilla groups, and paramilitaries. All these actors have influence and control different aspects of the flow of goods and people across this busy border, where the distinction between legal and illegal transits is blurry in every sense. The overlapping territorialities that these actors shape through different practices articulate a particularly precarious life for migrants who must learn to read and respond to volatile and changing systems of border control. We discuss the perspectives of migrants themselves and show how they had to respond to the effects of the quarantine instated during the COVID-19 pandemic.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.004
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.124
GPT teacher head0.433
Teacher spread0.309 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Borderlands StudiesSame topicGender, Health, and Social InequalityFrench-language works237,207