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Record W3217140585 · doi:10.24043/isj.180

Female migration in the Cape Verde islands: From islandness to transnationalism

2021· article· en· W3217140585 on OpenAlexvenueno aff
Martina Giuffré

Bibliographic record

VenueIsland Studies Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsCape verdeTransnationalismEmigrationArchipelagoGender studiesImmigrationGeographyEthnographyEthnologyOpenness to experienceSociologyPolitical scienceAnthropologyArchaeologyPoliticsPsychology

Abstract

fetched live from OpenAlex

Following island studies scholars’ suggestion to think “with the archipelago” in order to denaturalize and de-territorialize the object of study and grant more attention to decolonization processes and mobilities, this paper uses a gender perspective and multi-sited ethnographic research to explore changes in Cape Verdean identity perception related to islandness and migration issues. The tension between ‘openness’ and ‘closure’ is significant in the case of Cape Verde, where the relationship between the island and islanders represents a condition of being in the world. The sea opens to the outside, but it also closes off and imprisons islanders within the borders of the island. Before the 1970s, when most Cape Verdean migrants were men, inside/outside boundaries were played out as gender boundaries along the male/female opposition: external/internal, Terra Longe (the outside world)/Terra Mamaizinha (the motherland), danger/security. On the isle of Santo Antão, however, this has been changing with the gradual feminization of emigration to Europe. This shift has revolutionized the previous sense of home, giving rise to a new form of transnational female family that connects places of immigration and places of origin while also reorienting Cape Verdean female belonging from insular to transnational.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.345
Teacher spread0.296 · 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 teacher head, not a consensus.

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

Citations5
Published2021
Admission routes1
Has abstractyes

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