Bibliographic record
Abstract
I begin this paper with the question, "What is the contrary of hope?"The answer would seem to be, not despair, but hate.Hate is the contrary of hope.Both the word "hate" and the word "hope" shift easily in common use between verb and noun."There is a considerable amount of hate around right now," we might say, "And not much hope."This paper is interested in this shift between verb and noun as a verbal fact, wanting to hold up for inspection the verbal characteristics of the word "hate" and the word "hope."When we hold these words up for inspection in this way, their emotionality stands out."I hate this," we say; "I hope that "The gospel of John, and one synoptic gospel, the gospel of Luke, direct "hate" in an unexpected way that rewards such inspection.Taking up the gospel of Luke first: at 14:26, Luke reads, "If any one comes to me and does not hate his own father and mother and wife and children and brothers and sisters, yes, and even his own life, he cannot be my disciple."The gospel of John, at 12:25, reads, "He who loves his life loses it, and he who hates his life in this world will keep it for eternal life."These are odd, even visceral uses of the verb hate.They show that something more is involved in the notion of "hate" than simple "rejecting."To hate something is not only to reject it, but to do so in a way that engages the whole person.Luke uses "hate;" Matthew, in contrast to Luke, has Jesus state the same interdiction against familial solidarity using "love": Matthew's redaction is, "He who loves father or mother he who loves son or daughter more than me is not worthy of me" (10:37).Matthew's decision to distinguish on the basis of "love" in contrast to Luke's decision to distinguish on the basis of "hate" compares well with the way "hate" is used in 1 John.In 1 John there is a contradiction of Luke's use and the gospel of John's use: "He who 87
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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) | 0.000 | 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".