Troubled Children: Violence and Illicit Sexual Behaviour in Trinidad Schools
Bibliographic record
Abstract
This work proffers an explanation for crime on nature of arrangements for living in modern capitalist society and sees crime as inherent in these arrangements themselves. In Caribbean context, one example of this critical approach to explanation can be found in work of Ken Pryce (1976) who states that ... orthodox viewpoint is that crime in developing countries is product of social change, manifestation in these societies of a transition from a traditional to a modern stage of development... this engenders imbalances such as overcrowding, alienation and anomie in city. Pryce advances a contrary view and purports that rising crime in developing societies is not a product of modernization per se but a symptom of a particular type of development based on exploitation and the development of under-development such as is evidenced in Capitalist societies of Caribbean for past decades. He suggests that profit-centered pattern of development enriches a few and disposes many, through unemployment, ... which in turn leads to a diversity of survival strategies based on pimping, hustling, pushing, scrunting, prostitution, violence and wretchedness. The evidence drawn from current study would be used to contribute to adequate theorizing on youth crime in Trinidad and Tobago.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".