Chrystia Freeland Supports Our Coups + Making the Case for Jagmeet Singh
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
Foreign Affairs minister Chrystia Freeland was in good company this week at the Davos summit as she shared a stage with far-right Brazilian president Jair Bolsanaro to defend and promote the soft coup in Venezuela. Writer and academic Christo Aivalis (Canadian Dimension, The Washington Post, Ricochet) joins host Andre Goulet to explore why an official endorsement of regime change in the southern hemisphere by the Canadian government shouldn't surprise us. Plus: how the manufactured media-driven 'crisis' over Jagmeet Singh's leadership is over-hyped and why the federal NDP leader needs to pay close attention to Alexandria Ocasio-Cortez, Bernie Sanders and the resurgent American Left as he and his party prepare to fight the 2019 election. Find Christo's recent piece at Canadian Dimension here: https://canadiandimension.com/articles/view/the-lesson-ocasio-cortez-and-sanders-have-for-the-left-welcome-their-hatred Music: 'Himno Nacional de Venezuela' w/ Gustavo Dudamel This episode was recorded on January 24th, 2019.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.042 | 0.003 |
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