The umbrella murder the hunt for the Cold War's most notorious killer
Bibliographic record
Abstract
"London, September 1978: exiled Bulgarian dissident Georgi Markov is murdered in broad daylight on Waterloo Bridge with what appears to be a poison-tipped umbrella. It would become the most infamous unsolved killing of the Cold War. Many years later, young journalist Ulrik Skotte is approached with explosive new information about a man alleged to be responsible for Markov's death - a spy code-named Piccadilly who worked for the Bulgarian secret service. This meeting launched Skotte into a hunt for the killer lasting more than a quarter of a century, bringing him face to face with eccentric conspiracy theorists, a washed-up former dictator, ageing Danish spooks - and, ultimately, with Agent Piccadilly himself. Drawing on an incredible cache of original documents, interviews and archive material, The Umbrella Murder provides jaw-dropping answers to questions that have persisted for nearly five decades: who killed Georgi Markov? And who has been protecting the assassin ever since?"--Publisher's description
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".