Bibliographic record
Abstract
In 2017, Maureen Pytlik graduated from Ottawa’s Carleton University with degrees major in both clarinet performance and mathematics. Her curriculum also included advanced music theory studies and West African drumming and dance. She describes her West African dance experiences as transformative. “I was quite happy to open up and be awkwardly uncoordinated,” she relates, “because it was something that created a lot of group bonding in a way. Feeling part of the group was very important to me because having Asperger’s means it’s not something that I experience easily.” African dance, and drumming too, helped Maureen to navigate a dichotomy which has been difficult for her to manage in her life, and one that she identifies closely with having Asperger’s: the conflicting pulls of competing desires for control and freedom. “I am pulled in these two different directions,” she acknowledges. “My modes of being can fluctuate between the two styles of having control and experiencing freedom, but I have a hard time (as with any polar opposites) hovering in the middle between them without gravitating toward one extreme or the other at any given time.” Music and dance, especially of the West African variety, have enabled her to move closer to achieving that elusive balance.
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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".