Children of the Recession: Learning from <i>Manchild in the Promised Land</i>
Bibliographic record
Abstract
If Reno was in a bad mood – if he didn't have any money and he wasn't high – he'd say, ‘Man, Sonny, they ain't go no kids in Harlem. I ain't never seen any. I've seen some real small people actin’ like kids, but they don't have any kids in Harlem, because nobody has time for a childhood. Man, do you ever remember bein’ a kid? Not me. Shit, kids are happy, kids laugh, kids are secure. They ain't scared- a nothin’. You ever been a kid, Sonny? Damn, you lucky. I ain't never been a kid, man. I don't ever remember bein’ happy and not scared. I don't know what happened, man, but I think I missed out on that childhood thing, because I don't ever recall bein’ a kid.[1]
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".