Bibliographic record
Abstract
Extract: Everyone is a victim – at some point, in some way, suffering is inevitable. As Buddha declared in The First Noble Truth: “there is suffering.” It is a descriptive truth of the way that the world is. Some people are victims in a small way – and we are likely to hear about their victimhood in conversation as people share what happened to them and how they have suffered at the hands of others, or due to natural circumstances. Others are victims on a much grander scale – and we hear about their victimhood in the media, in newspapers, in books. Being victimized is not something that the individual chooses. But it happens and so the question of how to address it is important. Victimization is inevitable so what can we do about that? While victimization is inevitable, victimhood is not. Indeed, the world admires those who have suffered difficult circumstances and yet succeeded in rising beyond their victim status as pointed out in the cases given earlier. Their example gives us hope and inspiration. Becoming a victim may be bad luck, but to rise above victimhood is something that depends on the desire, the will, and the power of the individual. Victimization is inevitable, victimhood is a choice.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".