Bibliographic record
Abstract
<JATS1:p>Yevgeni Vladimirovich Brik and James Douglas Finley Morrison were central figures in what was considered one of the most important Cold War operations in the West at the time. Their story, which involves espionage, intelligence tradecraft, intelligence service penetrations, double agent scenarios, and betrayal, is a piece of Cold War intelligence history that has never been fully told.</JATS1:p> <JATS1:p>Yevgeni Brik was a KGB deep cover illegal who had been dispatched to Canada in 1951. He settled in Verdun, Quebec. He eventually became the KGB Illegal Resident where he had responsibility for running a number of agents, one of whom was working on the CF-105, Avro Arrow. In 1953, he fell in love with a married Canadian woman to whom he revealed his true identity. She persuaded him to turn himself in, which resulted in his becoming a double agent, working for Canada. He was later betrayed by a Royal Canadian Mounted Police Officer, James Morrison, who sought money from the KGB to pay his debts. Brik was consequently lured back to Moscow in 1955, where he was arrested, and interrogated. Convicted of treason, a traitors fate awaited him, predictable, grim and final. Incredibly, he reappeared at a British Embassy as an old man in 1992, seeking Canadas help. He was exfiltrated by a joint Canadian / British intelligence team which was headed by Donald Mahar. He was debriefed by Mahar for several months when they returned to Canada.</JATS1:p>
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".