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 is the second bugfix release of the 3.4.x series. This release contains several critical bug-fixes: Generate wheels usable on older PyPy7.3.{0,1} Fix compatibility with Python 3.10 Add <code>subplot_mosaic</code> Axes in the order the user gave them to us Correctly handle 'none' <em>facecolors</em> in <code>do_3d_projection</code> Ensure that Matplotlib is importable even if there's no HOME Fix <code>CenteredNorm</code> with <em>halfrange</em> Fix <code>bar_label</code> for bars with NaN values Fix clip paths when zoomed such that they are outside the figure Fix creation of <code>RangeSlider</code> with <em>valinit</em> Fix handling of "d" glyph in backend_ps, fixing EPS output Fix handling of datetime coordinates in <code>pcolormesh</code> with Pandas Fix processing of some <code>errorbar</code> arguments Fix removal of shared polar Axes Fix resetting grid visibility Fix subfigure indexing error and tight bbox Fix textbox cursor color Fix TkAgg event loop error on window close Ignore errors for sip with no setapi (Qt4Agg import errors)
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.030 |
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