VectoRose: A new package for analysing and visualising 3D non-unit vectors in Python
Bibliographic record
Abstract
v1.6.0 (2026-06-30) This release is published under the MIT License. Bug Fixes Use built-in normalisation to get magnitude and direction. (e645bbb) Build System Remove unnecessary codecov step in CI/CD. (c0336a6) Restrict permissions for token in CI on Win. (fd48658) Restrict permissions for token in CI. (eef90e8) Update gitpython and add cmcrameri. (2e9df1e) Update GitPython based on dependabot alert. (b0fb4b4) Update openpxyl version. (93362f8) Update pillow version. (7a626d5) Update pygments version. (14c6e37) Update pytest to address dependabot alert. (2f595c6) deps: Bump aiohttp in the pip group across 1 directory (6a11daa) deps: Bump aiohttp in the pip group across 1 directory (dab6e80) deps: Bump idna in the pip group across 1 directory (edbe1d0) deps: Bump jupyter-server in the pip group across 1 directory (5ba35b9) deps: Bump lxml in the pip group across 1 directory (793822b) deps: Bump mistune in the pip group across 1 directory (43c9134) deps: Bump nbconvert in the pip group across 1 directory (c9bd2dd) deps: Bump requests in the pip group across 1 directory (302f003) deps: Bump the pip group across 1 directory with 3 updates (4c3e24c) deps: Bump tornado in the pip group across 1 directory (3169c05) deps: Bump urllib3 in the pip group across 1 directory (f7f9c08) deps-dev: Bump black in the pip group across 1 directory (b35b059) deps-dev: Bump jupyterlab in the pip group across 1 directory (6cdeabe) deps-dev: Bump notebook in the pip group across 1 directory (260df67) Documentation Clarify colour representation in the returned array. (e638621) Remove invalid escape sequence \ . (52f424e) Features Add function to create point cloud from vectors. (ef71f51) Testing Add tests for the point cloud construction. (9643dd9) Switch to Agg backend for plotting during tests. (d06fedb) Detailed Changes: v1.5.2...v1.6.0
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.211 | 0.117 |
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 source (direct Gemma or distilled Codex), 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".