Protest #16. No Mandatory Masks - Part 1
Bibliographic record
Abstract
Part 1 of 2. On July 19, 2020 our No New Normal group joined with Ryan Kulbaba's group in downtown Vancouver, Canada. Ryan and his associates organized protest marches in many cities across Canada on this day. We had over 100 people this time. There were several good speeches and the march is always the best part as people can express themselves and the dynamic with the unsuspecting public is good, eh? Video playlists: https://www.bitchute.com/profile/yRDt6pN0WgUf/ Donate: http://www.brianruhe.ca/please-donate/ Bitcoin: 15Ls63J21zzhAPE7ke4P2JhaHyAEhUrJVe https://www.facebook.com/brian.ruhe.353 https://twitter.com/BrianRuhe My BLOG: http://www.brianruhe.ca/category/blog/ http://www.thulesociety.com https://truthandjusticeforgermans.com/ You have my permission to please copy any of my videos to spread the word. Please post them on Facebook. Brian Ruhe's books are available at Amazon. https://www.amazon.com/s/ref=nb_sb_noss?url=search-alias%3Daps&field-keywords=a+short+walk+on+an+ancient+path Source: https://www.bitchute.com/video/9GtV2udSJEdY Uploader: Brian Ruhe
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.139 | 0.308 |
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".