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Record W2996899092

“Amphibious histories”: An Interview with Isabel Hofmeyr

2019· article· en· W2996899092 on OpenAlexvenueno aff
Anupama Mohan

Bibliographic record

VenuePostcolonial text · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsnot available
Fundersnot available
KeywordsPostcolonialism (international relations)Reading (process)TransnationalismIndian oceanHistoryPerspective (graphical)Field (mathematics)Interpretation (philosophy)SociologyAnthropologyGender studiesVisual artsPoliticsArtPolitical scienceOceanographyLinguisticsPhilosophyLaw
DOInot available

Abstract

fetched live from OpenAlex

Isabel Hofmeyr is Professor of African Literature at the University of the Witwatersrand. Her research interests include postcolonialism; African literature; Southern African literary studies; oral history and literature; John Bunyan; seventeenth century studies; textual transnationalism; Africa-India interactions; Indian Ocean studies; histories of the book and print culture; and histories of reading and writing. Her current work focuses on Africa and its intellectual trajectories in the Atlantic and Indian oceans. In particular, her work addresses questions of Africa’s intellectual place in the world and the material and aesthetic history of texts and their transnational circulation. Hofmeyr has served as Acting Director of the Centre for Indian Studies in Africa (www.cisa-wits.org.za) which she helped to establish. In this interview, Professor Hofmeyr lays out clearly some of the key features of the field generally known as Indian Ocean Studies, and especially the ways in which the focus on land from the perspective of the oceanic revitalizes the terracentric thinking of much postcolonial theory. Appended at the end of this interview is an initial reading list for those encountering the field anew.

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)0.005
metaresearch head score (Gemma)0.007
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 score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0200.012
Scholarly communication0.0040.007
Open science0.0010.003
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0050.001

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 head0.015
GPT teacher head0.273
Teacher spread0.258 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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