Mapping Colombians’ positions on sentencing for substance offenses
Bibliographic record
Abstract
BACKGROUND: In Colombia, a person caught in possession of an illicit substance is not judicially sanctioned as long as the quantity does not exceed the maximum allowable amounts. Given that the public is divided on the appropriateness of this policy, an examination of the various public positions was undertaken. METHOD: A convenience sample of 302 adults were presented with 48 vignettes depicting a situation of everyday life easily recognizable by all in Colombia; that of a male person who is apprehended in the street by the police because he is suspected of illicit trafficking. These vignettes were created by orthogonal variation of four factors: Type of substance, amount of substance, type of charge against the offender, and offender's age. RESULTS: Through cluster analysis, six qualitatively different positions were found. These positions corresponded to three distinct, classical philosophies (a) a libertarian, free-market philosophy - punishment should never be extremely severe because the trade in psychotropic substances is a trade like any other (6%), (b) a moralistic, conservative philosophy - punishment should always be extremely severe except perhaps in certain cases (52%), and (c) a progressive, human rights-inspired philosophy - punishment should always be proportional to the seriousness of the facts (42%). CONCLUSION: Half of Colombian people supported a control policy according to which the use of psychotropic substances is considered profoundly immoral. Most of the other segment of the population express views similar to those of international organizations. It is therefore desirable that legislators rely on progressive international legislation to support domestic policies that are not strictly moralistic and conservative.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".