Bibliographic record
Abstract
Island in the Stream introduces an original genre of ethnographic history as it follows a community on Mayotte, an East African island in the Mozambique Channel, through eleven periods of fieldwork between 1975 and 2015.Over this forty-year span Mayotte shifted from a declining and neglected colonial backwater to a full département of the French state.In a highly unusual postcolonial trajectory, citizens of Mayotte demanded this incorporation within France rather than joining the independent republic of the Comoros.The Malagasy-speaking Muslim villagers Michael Lambek encountered in 1975 practised subsistence cultivation and lived without roads, schools, electricity, or running water; today they are educated citizens of the EU who travel regularly to metropolitan France and beyond.Offering a series of ethnographic slices of life across time, Island in the Stream highlights community members' ethical engagement in their own history as they looked to the future, acknowledged the past, and engaged and transformed local forms of sociality, exchange, and ritual performance.This is a unique account of the changing horizons and historical consciousness of an African community and an intimate portrait of the inhabitants and their concerns, as well as a glimpse into the changing perspective of the ethnographer.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.359 | 0.082 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".