MétaCan
Menu
Back to cohort
Record W4398513858 · doi:10.7910/dvn/dkpadi

Aproximación social de la migración en el Estrecho de Gibraltar con perspectiva de género

2023· dataset· en· W4398513858 on OpenAlexaff
L. Lozano, José Javier García Cardenas

Bibliographic record

VenueHarvard Dataverse · 2023
Typedataset
Languageen
FieldSocial Sciences
TopicImmigration and Intercultural Education
Canadian institutionsAUG Signals (Canada)
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

This article will address a series of questions related to different controversial notions, as well as reflective questions that each person will be able to contrast with the objective data presented in this article. Does the social structure legitimize inequalities? Is individualism the consequence of different periods of development? Can a comparison be made between the societies of Spain and Morocco and their social protection systems? Are there more cases of human trafficking and forced labor in Andalusia, with the possible influence of the proximity of borders? Throughout this text, the global and specific inequality of the Strait of Gibraltar area, migratory effects and other issues will be analyzed: The issue of psychological, physical and sexual violence towards women is addressed, and the affectation of women, girls and boys as a result of the funding of Migratory Policies of Europe and Spain to third countries such as Morocco and Algeria is raised. We will focus on migrant women who are affected by different inequalities, poverty, gender, ethnicity, religion, not speaking the language, etc., the socalled intersectionality. In this sense, we will observe data and raise awareness through testimonies of the effects of the huge inequality. Keywords: Migration, Inequality, Gender, Welfare States, Borders.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.030

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 head0.018
GPT teacher head0.361
Teacher spread0.342 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueHarvard DataverseSame topicImmigration and Intercultural EducationFrench-language works237,207