Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This chapter discusses a methodology for listening to soundtracks in an unsettling way in order to better hear the integration of film and place. Tying the concepts to the notion of faithful representation of a listening community offers a way of assessing fidelity on the basis of unsettling. The documentary film Soundtracker follows Hempton on a mission to record the singing of a meadowlark in conjunction with the rush of a passing train. Significantly, probing the fidelity of the film's engagement with Vancouver is left to the soundtrack. Treating film soundtracks as documents on a par with the files of the World Soundscape Project offers an alternative history of the Vancouver soundscape that unsettles the place to reveal rich and troubled histories that continually overlap. The chapter shows how acoustic profiling works to unsettle listening through an intermedial analysis of Vancouver by way of its representation across a variety of media that engage in documenting the city and its communities.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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 it