Bibliographic record
Abstract
I am beginning with the young. We older ones are used up … We are rotten to the marrow. We have no unrestrained instincts left … But my magnificent youngsters! Are there finer ones anywhere in the world? … Look at these young men and boys! What material! With them I can make a new world. (Adolf Hitler, cited in Rempel 1989, p. 2) The rebels attacked my village and I was separated from my parents … [They] threatened to kill me if I made any attempt to run away. I didn't want to die so I joined them. I was afraid of being around these dangerous men with all kinds of weapons … I had no mom, no dad, sister or brother … I was alone for the first time in my life. (Boy) The making of an RUF child soldier is undoubtedly a complex and multi-faceted process that occurred gradually over an extended period of time. This chapter sheds light on the important context in which this process of RUF militarization began, and the means through which the transmogrification of disoriented youngsters into often obedient and militarized members of the RUF deepened. Drawing upon participants' narratives, the chapter explores boys' and girls' experiences with recruitment and the militarized training they received.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".