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Record W4399202269 · doi:10.1215/1089201x-11141591

A Harbor That Never Was

2024· article· en· W4399202269 on OpenAlexaboutno aff
Devika Shankar

Bibliographic record

VenueComparative Studies of South Asia Africa and the Middle East · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsnot available
Fundersnot available
KeywordsPort (circuit theory)CeylonPresidencyQuarter (Canadian coin)Modernization theoryColonialismUnderpinningIndian oceanHistoryGeographyEconomyPolitical scienceDevelopment economicsEngineeringCivil engineeringAncient historyArchaeologyOceanographyLawPoliticsEconomicsGeology

Abstract

fetched live from OpenAlex

Abstract Through a focus on an abandoned harbor development project in Tuticorin in southeastern India, this article interrogates the factors shaping port development in the first quarter of the twentieth century. Tuticorin—which at the time was the second-busiest port in the Madras presidency—had emerged as the likeliest site for an ambitious port development scheme, thanks largely to its intimate relationship with both Colombo and the plantations of Ceylon just across the Gulf of Mannar. Within just a few years, however, this project would be abandoned abruptly after being declared unrealistic and impractical. What made Tuticorin's development appear almost inevitable at one point, only to be deemed completely unviable a couple of decades later? This article uses the rise and fall of port development schemes at Tuticorin in the early decades of the twentieth century to examine wider developments in the colonial economy and to interrogate the infrastructural networks and environmental forces underpinning both the hopes for port modernization and their eventual success or failure around the Indian Ocean.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.008
Scholarly communication0.0040.003
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.138
GPT teacher head0.312
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueComparative Studies of South Asia Africa and the Middle EastSame topicGlobal Maritime and Colonial HistoriesFrench-language works237,207