The Linger Effect - I Hope You Die First [MMM028]
Bibliographic record
Abstract
This is music for crisp autumn nights in foreign cities or a foreign part of one very familiar. This is music for smoking too many cigarettes. This is music for the beginning of an affair. This is music for the end of an affair. This is music for an affair which never happens. I Hope You Die First collects music recorded by The Linger Effect between 2003 and 2006. The majority of these songs were recorded as part of Douglas Wolk's NaSoAlMo contest in 2005 and 2006. "Cedar" and "A Good Face For Memories" were recorded in 2003 with the former being previously released on the Plotter Group compilation Bulbous. While few of these tracks were intended to be the final mixes, a hard drive crash ensured that this would be the case. We were able to rescue these demo mixes, but the individual tracks were lost to scrambled bits and bytes. That said, these songs are mostly presented as originally envisioned. Why not visit www.lingereffect.com? I Hope You Die First by Kent Burt is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 2.5 Canada License . Permissions beyond the scope of this license may be available at www.lingereffect.com .
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.386 | 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; both teacher heads agree on what is shown here.
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".