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Record W3107828344 · doi:10.1177/0263775820970945

In the wake of logistics: Situated afterlives of race and labour on the Magdalena River

2020· article· en· W3107828344 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
FundersUniversity of TorontoDurham UniversityUniversity of California, San DiegoLondon School of Economics and Political Science
KeywordsSituatedRace (biology)EthnographySociologyModernityGender studiesAnthropologyPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Based on ethnographic fieldwork conducted aboard a cargo boat on Colombia’s Magdalena River, and on historical accounts of fluvial transport, this article examines the racial formations on which logistics depends. Logistics is organized around flows at the heart of capitalist modernity, which are made possible by labour regimes whose racial underpinnings have both persisted and changed over time. Tracking continuities and divergences in riverboat work along the Magdalena River, I propose that our understanding of logistics is enriched by attending to historical articulations of race and labour. Inspired by scholars who reckon with the afterlives of racial slavery as well as by those who track precisely how that legacy unfolds in geographically and historically situated ways, I propose the analytic of situated afterlives, which focuses attention on the persistence of racial hierarchies and on their perpetual instability.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.172

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.017
GPT teacher head0.224
Teacher spread0.207 · 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