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Record W4396887109 · doi:10.1016/j.lanepe.2024.100929

Germany's cannabis act: a catalyst for European drug policy reform?

2024· review· en· W4396887109 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Lancet Regional Health - Europe · 2024
Typereview
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsCanada Research ChairsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsCannabisGermanEnforcementPossession (linguistics)Medical cannabisBusinessCollusionPublic healthPublic economicsPolitical scienceMedicineLawEconomicsPsychiatryGeography

Abstract

fetched live from OpenAlex

With the enforcement of the Cannabis Act on 1 April 2024, Germany has adopted one of the most liberal legal approaches to cannabis on the continent. The German model prioritises a non-profit approach and precludes legal market mechanisms. We believe these are the main drivers for increasing cannabis use and related health problems, based on observations following cannabis legalisation in Canada and many states in the U.S. Although legalising cannabis possession and cultivation may not immediately eliminate the illegal market, it is expected to serve public health goals. Despite the overall positive evaluation of the Cannabis Act in Germany, there are three potential areas of concern: the potential for misuse of the medical system, the normalization of cannabis use, and the influence of the cannabis industry. The German model may herald the beginning of a new generation of European cannabis policies, but concerted efforts will be required to ensure that these policy reforms serve rather than undermine public health goals.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.335
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.112
GPT teacher head0.437
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it