Bibliographic record
Abstract
The commentary authors encourage readers to seek the entire version of “Magnetism” (Maupassant's writings are now in the public domain and have been translated into many languages). In this short story, the narrator is invited to a dinner at which the guests discuss the theme of magnetism, a pseudoscientific medical practice that claimed that all living things were universally connected through a magnetic fluid. The commentary authors will not comment on this particular practice, which was already strongly criticized at the time of Maupassant. Instead, they will analyze how this excerpt from “Magnetism” could stimulate debates on human relationships in modern medicine. “In the little village of Etretat, the men, who are all seafaring folk, go every year to Newfoundland to fish for cod. Now, one night the little son of one of these fishermen woke up with a start, crying out that his father was dead. The child was quieted, and again he woke up exclaiming that his father was drowned. A month later the news came that his father had, in fact, been swept off the deck of his smack by a billow. The widow then remembered how her son had wakened up and spoken of his father’s death. Everyone said it was a miracle, and the affair caused a great sensation. The dates were compared, and it was found that the accident and the dream had very nearly coincided, whence they drew the conclusion that they had happened on the same night and at the same hour. And there is the mystery of magnetism.” The story-teller stopped suddenly. Thereupon, one of those who had heard him, much affected by the narrative, asked: “And can you explain this?” “Perfectly monsieur. I have discovered the secret. The circumstance surprised me and even embarrassed me very much; but, I, you see, do not believe on principle. Just as others begin by believing, I begin by doubting; and when I don’t at all understand, I continue to deny that there can be any telegraphic communication between souls, certain that my own sagacity will be enough to explain it. Well, I have gone on inquiring into the matter, and I have ended, by dint of questioning all the wives of the absent seamen, in convincing myself that not a week passed without one of themselves or their children dreaming and declaring when they woke up that the father was drowned. The horrible and continual fear of this accident makes them always talk about it. Now, if one of these frequent predictions coincides, by a very simple chance, with the death of the person referred to, people at once declare it to be a miracle; for they suddenly lose sight of all the other predictions of misfortune that have remained unconfirmed. I have myself known fifty cases where the persons who made the prediction forgot all about it in a week afterwards. But, if in fact the man was dead, then the recollection of the thing is immediately revived, and people will be ready to believe in the intervention of God, according to some, and magnetism, according to others.”
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.064 | 0.021 |
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".