Bibliographic record
Abstract
The term ‘soundscape’, as coined by the Canadian composer R. Murray Schafer at the end of the 1960s, refers to the part of the acoustic environment that is perceivable by humans. This study attempts to reconstruct roughly the Eleusinian ‘soundscape’ (the words and the sounds made and heard, and those others who remained unheard) as participants in the Great Mysteries of the two Goddesses may have perceived it in the Classical and post-Classical periods. Unlike other mystery cults (e.g. the Cult of Cybele and Attis) whose soundscapes have been meticulously investigated, the soundscape of Eleusis has received relatively little attention, since the visual aspect of the Megala Mysteria of Demeter and Kore has for decades monopolised the scholarly attention. This study aims at putting things right on this front, and simultaneously look closely at the relational dynamic of the acoustic segment of Eleusis as it can be surmised from the work of well-known orators and philosophers of the first and second centuries CE.
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 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 | 0.010 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".