Bibliographic record
Abstract
A t 8 p.m. on 5 September 1945 Igor Gouzenko, principal cipher clerk to Colonel Nikolai Zabotin, the military attaché at the Soviet embassy in Ottawa, Canada, defected. Over the previous few weeks he had removed from the embassy a number of documents marked ‘Top secret. Burn after reading.’ In total there were more than a hundred carefully selected secret documents detailing a vast Soviet network operating in the United States and Canada, among them a member of the British high commissioner's staff, Kathleen Wilsher, codenamed ‘Ellie’. The British high commissioner, Malcolm MacDonald, was informed of the case and it was decided that Ellie should be placed under observation. MacDonald then agreed to serve on a small informal committee made up of Canadian intelligence officers, the Canadian Prime Minister, Mackenzie King, and the Canadian Permanent Secretary for External Affairs, Norman Robertson, to investigate the extent of Soviet espionage in Canada. MacDonald's membership of this committee was regarded as essential, since Mackenzie King ‘wished to share all the secrets with his colleagues in London’. As more and more of the Gouzenko material was translated it became clear that the reach of the Soviet spy networks in the US and Canada was bigger than had first been anticipated and included the Canadian National Research Council. Within the first few days of Gouzenko's defection four agents working for the council were exposed as spies. These were Durnford Smith, E. W. Mazerall, Dr Raymond Boyer and a fourth agent identified only by his codename ‘Alek’, known to be closely associated with the manufacture of the atomic bomb. There was also a fifth man, Israel Halperin, whose level of involvement remained hidden. The identity of Alek, however, was discovered after a telegram from Nikolai Zabotin to Moscow Centre was intercepted, revealing that Alek would soon be taking up an appointment as a lecturer at the University of London: Alek will work in King's College, Strand. It will be possible to find him there through the telephone book. Meetings: October 7, 17 and 27 on the street in front of the British Museum. The time, 11 o’clock in the evening At the beginning of September he must fly to London.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.024 | 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 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".