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Record W4391825989 · doi:10.1080/14788810.2023.2288378

Amphibious landings: Free people of color, food supply, and contested land tenure on the Magdalena River network (1796–1806)

2024· article· en· W4391825989 on OpenAlexaff
Valeria Mantilla Morales

Bibliographic record

VenueAtlantic Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHistory and Politics in Latin America
Canadian institutionsUniversity of Toronto
FundersJohn Carter Brown Library, Brown University
KeywordsLivelihoodGovernmentalityAgrarian societyLand tenureColonialismHistoriographyBureaucracyCustomary landEconomyInterdependenceSociologyPolitical scienceArchaeologyGeographyLawAgricultureEconomicsPolitics

Abstract

fetched live from OpenAlex

The community of Chiriguaná sat east of the Magdalena River, Colombia’s main fluvial channel. During the eighteenth and nineteenth centuries, Chiriguaná was populated mostly by free people of color who worked as boatmen, farmers, and cattle ranchers. From 1796 to 1806, a land dispute unfolded between Don Domingo López Bordel and Chiriguaná. The community’s determination to engage in the dispute over land they inhabited was motivated by their amphibious culture, a culture that holds land and water to be interconnected and interdependent, both crucial to the livelihood of the community. This allowed them to supply their products to key Atlantic ports like Cartagena, Santa Marta, and Barranquilla. In this way, Chiriguaná configured interregional commercial networks, challenging colonial governmentality and land tenure bureaucracies. In reconstructing the life of an amphibious community that has yet to enter historiography as such, this research extends an invitation to broaden discussions about Atlantic amphibious cultures.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.036
GPT teacher head0.306
Teacher spread0.270 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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