Holding Tightly: Co-Mingling, Life-Flourishing and Filmic Ecologies
Bibliographic record
Abstract
Firmly emplaced within a soundscape incorporating movement, prayer, music, human-made and environmental sounds, the film Holding Tightly (2021) closely observes the performance and practice of a series of healing encounters in the Baucau Municipality of Timor-Leste. The lakadou (tubed zither) played in consort with dance in the opening and closing scenes is used by ritual specialists to communicate with the dai (ancestral nature spirit), which will eventually enable good health and more-than-human flourishing. Integral to conveying a sense of such flourishing are the sounds of everyday Timorese life which are pronounced in the film. The combination of rich and lively co-mingled soundscapes with the variety of healing modalities and exchanges depicted allows the audience to be drawn into the complexities and textures of Timorese pathways and aspirations for life-flourishing. Such flourishing emerges from forms of belief and care that are grounded in deep connections and exchanges between people and their environments. In this paper we explore the ways in which the relational sonic and visual richness of experience recorded in film opens new and productive ways of working with Indigenous knowledge and thinking about ecology.
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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 | 0.001 | 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 | 0.005 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".