Bibliographic record
Abstract
This is a CD from a Canadian band, Mimosa. The band mostly specializes in jazz, brazilian sambas, french 60ies pop and cabaret music - consisting of Rebecca Shoichet (vocals), Anna Lumiere (piano and accordion), Karen Graves (sax, flute and vocals), Adam Thomas (bass) and Bernie Arai (drums). I only discovered this band because one of its members, Shoichet, was a voice actor on My Little Pony. Not that I wanted to highlight Shoichet's field of work (aside from the voice-work she does), but I wanted to share this on the Archive since they're under-appreciated and because I used to listen to their music on their YouTube Topic page (searching for songs to include in a screenplay I was working on at the time) until their albums mysteriously vanished. So I've chosen to take it a step further and archive their work on this site, transferred from the original CD masters, which I hope everyone will appreciate for posterity. All copyright goes to their respective owners. #FAIR USE - "Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching,scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.212 | 0.047 |
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".