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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".