Review: Smriti Srinivas, Bettina Ng'weno, and Neelima Jeychandran (eds.), Reimagining Indian Ocean Worlds. Abingdon: Routledge, 2020
Bibliographic record
Abstract
The edited volume, Reimagining Indian Ocean Worlds, collects chapters that explore new ways of engaging with Indian Ocean studies, a remarkably evolving field of concern in recent academic discourse. The chapters have in common a dialogical and memoir-like disposition, and they harp on prospective methods of understanding human existence as essentially intersectional, heterogeneous, and interconnected. In substance, the volume insists to pre-empt a plain conjecture of the Indian Ocean as a physiographical unit that delineates and thus disconnects the continents and modern nation states which are centred landward rather than seaward. In effect, the oceanic spaces are considered intersecting terrains for people who experience the two different sides of the same waves that interweave their mutualities through narratives of movements, migrations, labours, translations, and more.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".