MétaCan
Menu
Back to cohort
Record W4398294874 · doi:10.7910/dvn/n2fdd2

Aproximación Social del Contrabando en la Zona del Campo de Gibraltar

2022· dataset· en· W4398294874 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHarvard Dataverse · 2022
Typedataset
Languageen
FieldSocial Sciences
TopicLabor Law and Work Dynamics
Canadian institutionsAUG Signals (Canada)
Fundersnot available
KeywordsHumanitiesGeographyCartographyArt

Abstract

fetched live from OpenAlex

I am about to pose a series of questions to a number of controversial notions. Campo de Gibraltar, is it the gateway to Europe for smuggling, smugglers, has it become a role model for the new generations in the area? Is Spain the country with the most drug seizures in the world? The Port of Algeciras is the fourth largest in Europe, during the years 2017 to 2020 a transit of 107.3 million tonnes of goods per year was recorded. Fourteen kilometres separate the African continent from Spain, making it the most important route for migration and drug trafficking from Morocco. The Campo de Gibraltar is a geo-strategic and socio-economically disadvantaged area, its two very different borders, with very different societies, offer smugglers tangible support. keywords: smuggling, drug trafficking, mythologising, Strait of Gibraltar, geostrategic.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.114
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1190.004

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 head0.010
GPT teacher head0.270
Teacher spread0.261 · 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