Bibliographic record
Abstract
«This work highlights the need for a holistic approach to the confounding issues confronting the region, confronting our age. In reminding us of the many vulnerabilities and vitalities of Oceanian communities and island worlds, it shows the potential for dialogue between disciplines and consilience between academic scholarship and local community understandings. The collection’s clarion call for a new ‘ecosystem of knowledge’ is utterly timely.» (Alexander Mawyer, Director, Center for Pacific Islands Studies, University of Hawai‘i) «This work breaks the barriers imposed by language and distinctive intellectual traditions in presenting a wide-ranging selection of current work from the South Pacific in the humanities, social and natural sciences. Of particular significance is the fact that Francophone as well as Anglophone scholars are represented. This gathering of minds, a meritorious initiative of the University of French Polynesia, is an invitation to ‘think the Pacific’ in the vein of pioneer Oceanian intellectuals like Epeli Hau’ofa and Jean-Marie Tjibaou.» (Eric Waddell, Adjunct Professor, Université Laval, and Chercheur invité, Institut de Recherche pour le Développement (IRD), Nouméa) This work, an initiative of the University of French Polynesia, Tahiti, showcases research collaboration between small island universities in the Pacific. It addresses a number of «big issues» for Oceania which are also big issues for the world, concerning the biosphere and human society, sustainable development and well-being. The authors seek to create an ecosystem of knowledge through a dialogue, in English and French, between the natural sciences, the social sciences and the humanities. The work also brings into perspective academic and traditional knowledge, with a view to enhancing cultural and agricultural practices and the development of public policy. Climate change, environmental degradation and food security are key questions for survival. How can the preservation of cultural heritage, the transmission of native languages and the integration of traditional knowledge into formal education contribute to a harmonious future? How is the phenomenon of violence relevant to an understanding of history, interpersonal relations and social inclusiveness, including for women in the political sphere? The Tongan-Fijian writer Epeli Hau’ofa described Oceania imaginatively as a «Sea of Islands». This volume sees Pacific islands as being interconnected in ways beyond imagining, in which nowhere is remote, where the peripheral has become a decentred centre.
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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.022 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.030 | 0.003 |
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".