Bibliographic record
Abstract
Unlike the previous chapters, this chapter argues that the cold war bunker represented a globalized media scarce condition, where populations were encouraged to seek shelter underground. Yet while the bunker mirrored the media scarce conditions of many other communities discussed in our book, it was initially sold as an extension of the family home, replete with the creature comforts of the time – notably consumer media technologies. However, the chapter details how this mythic media abundant bunker gave way to militarized bunker visions that emphasized the installation’s redundant qualities. Not only would the state bunker contain layers of redundant media technologies in case of attack or technological failure, but the cold war bunker would also never be used for its intended purpose of protection against nuclear arms. Focusing on the case of the Canadian “continuity of government” bunker located outside of the national capital Ottawa, the chapter concludes with an analysis of the contemporary return of the media abundant bunker, or bunker media, an event hall and Cold War Museum that once again attempts to keep the precarity of its apocalyptic media scarcity at bay. Instead of nuclear annihilation, the newly refashioned bunker turns to zombies and spy games to remediate and placate the existential cold war threats of an uncertain future in and beyond the underground.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.154 | 0.037 |
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 source (direct Gemma or distilled Codex), 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".