Bibliographic record
Abstract
The Editors of the Journal of Indian Ocean World Studies (JIOWS) are thrilled to present our first issue of 2024.This is an especially exciting time for our journal as this is the first issue to be published by Johns Hopkins University Press (JHP).Our partnership with JHP promises to enhance the profile of our journal and the wider scholarly field it showcases.It also follows hot-on-the-heels of our successful application to have the JIOWS indexed on SCOPUS last year.The JIOWS and Indian Ocean World (IOW) studies at large are gaining significant recognition for their contributions to interdisciplinary scholarship.We hope you will join us in celebrating these achievements.This issue comprises two original research articles, two conversations pieces, and one book review.As a collective body of work, they stress the importance of the environment and ecology in the history of the IOW.In 'Gender, drought, and foot and mouth disease,' Mathew Ruguwa (University of Zimbabwe) revises understandings of a colonial-era environmental disaster in present-day eastern Zimbabwe.He emphasises the adaptive capacities of local populations in the face of drought and colonial oppression, showing how gendered roles and familial structures became re-organised in the process.Meanwhile, in 'Slaving, colonial diplomacy, and resource extraction,' Hans Hägerdal (Linnæus University) integrates historical understandings of slavery and resource extraction in the seventeenth-century Dutch East Indies (present-day Indonesia).The result is a nuanced analysis of the local consequences, including ecological consequences, of Dutch slavery in the region.The two articles add new perspectives to a growing body of work, including work being conducted at the Indian Ocean World Centre (IOWC), 1 that seeks to integrate environmental change and climatic variability into an understanding of the IOW.The two Conversations pieces are transcribed interviews conducted by Philip Gooding (IOWC) with authors of new books in IOW studies.The first, with Daren Ray (Brigham Young University), is a discussion about Ethnicity, Identity, and Conceptualizing Community in Indian Ocean East Africa.2 This book challenges spatial framings of both African and Indian Ocean World history, which tend to divorce the historical trajectories of the coast and littoral from those of inland regions.Ray uses a mixture of linguistic, archaeological, historical, and ethnographic methods to show how 1 See for example: Appraising Risk: https://www.appraisingrisk.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.076 | 0.034 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".