Selling the War: Demonizing the Enemy (1918)
Bibliographic record
Abstract
Hardships Increase in Boston On the morning of December 6, 1917, the French ship Mont Blanc approached Halifax Harbor in Nova Scotia and collided with the SS Imo , a six-thousand-ton Norwegian ship on route to Belgium to deliver relief supplies. The day was just beginning. Children were walking to school along the waterfront. Workers made their way to factories, offices, rail and dockyards. Hearing the commotion, those still inside their homes ran to their waterfront windows to witness the crash. The Mont Blanc , bound for France and filled with six million pounds of high explosives, erupted in a fiery blaze that heated its volatile cargo to nine thousand degrees Fahrenheit, turning the ship into a “monstrous hand-grenade,” sending chunks of metal projectiles from the disintegrating vessel outward in all directions at 3,400 miles per hour, puncturing nearby ships, slicing open rooftops, and vaporizing those in its path. The force of the blast caused a ground wave, or earthquake, penetrating the bedrock at 13,000 miles per hour, shaking homes off their foundations. The ferocious detonation produced a mushroom cloud, a giant gas fireball filled with vaporized particles, metal and human, that rose two miles in the air and threw into the atmosphere tons of dark oil that rained down on its victims, blackening their faces with a slimy tar. Air waves followed, traveling at 21,000 miles per hour and shattering almost every window in Halifax, shooting pieces of glass like knives into the eyes and bodies of those who stood watching. Within a second, onlookers were blind, riddled with glass shrapnel, or dead. Most buildings within a two mile radius were obliterated. The shock from the blast violently parted the harbor waters, forming a tidal wave, or tsunami, that engulfed inland streets, drowned inhabitants, and flooded buildings nearly sixty feet above sea level. In the final accounting, the explosion killed almost two thousand people and wounded nine thousand more. Twenty-five thousand people, almost half the population, were suddenly homeless. The thickly settled waterfront community that occupied more than three hundred acres looked like no-man's land—a war zone. Ruptured gas lines blew up additional structures, trapping many survivors in the rubble of their flattened homes. Trees and telephone poles were snapped at their bases. Cement and masonry structures were obliterated. Fires started everywhere, as wooden buildings acted like kindling fuel.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.060 | 0.012 |
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".