Bibliographic record
Abstract
The Moana (Oceania) includes numerous land masses scattered within the expansive ocean waters of the Pacific.The Indigenous cultures there are resilient as many have, and continue to deal with, colonial and imperial occupation, while others have gained sovereign rights to their homelands.The Moana, often celebrated for its beautiful landscapes and scenery, is also a critical and interpretive space where arts and research converge-an intersection that only deepens our understanding of the region and fosters a dynamic dialogue between creativity and intellect.For this special issue, we called for proposals focused within the Moana and its communities, based on Indigenous ways of experiential and creative criticality, nurturing of intergenerational relational rhythms, and post-COVID desires.This entailed creative forms of expression that embody Indigenous intergenerational sense-making and meaning-making within the post-COVID theorizing space.Indigenous intergenerational cultural sources inspire, empower, and energise relational rhythms transferred across families, kinfolk, and communities across the diaspora of Tonga, Aotearoa New Zealand, Australia, United States, and beyond.Intergenerational sources sustain, continue, and support the thriving and flourishing of the next generation.These cultural sources in the art form(s) of poetry, metaphor, storytelling, ceremony, et cetera, open doorways into the interconnected ways in which Indigenous people honor the inseparability and sensibilities of knowing-seeing-feelingdoing-being-becoming across tā-vā (time-space) realities.A diverse group of authors have presented their (re)crafting, creativity, and criticality as a part of this special issue.There are academics, artists, creative writers, designers, dancers, poets, researchers, and storytellers.Many can be seen as
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 | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.201 | 0.130 |
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".