Place, Destabilized: Ambivalent Heritage, Community and Colonialism in the Marquesas Islands
Bibliographic record
Abstract
Increasingly marked by ethnic resettlement, large‐scale development and the destruction of cultural places, today's world challenges the essential bond between indigenous peoples and the land. Popular ideas about the supportive role of long‐term, phenomenological links to place and heritage appear to be losing their relevance. Yet, a closer look at the complexity of human connections to place reveals how painful memories and discomfort can also generate strong bonds that affirm community and cultural cohesiveness. Place‐making in indigenous heritage landscapes marked by colonialism is often ambivalent, evoking Ruth Benedict's observation that the sacred ‘may be a source of peril or it may be a source of blessing’ (1934:28). Though the actual meaning of places may be fraught, a shared approach to such heritage can bind communities together, overcoming historic silences and a violent past. With specific reference to ethnographic research in the Marquesas Islands of French Polynesia, I illustrate the contingency of indigenous processes of place‐making that are based in personal belief, discomfort and colonialism as much as affirmative interaction with the physical world.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.019 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".