{"id":"W7132938870","doi":"","title":"'Hop heads' and 'hypes': drug use, regulation and resistance in Canada, 1920-1961","year":2000,"lang":"","type":"dissertation","venue":"TSpace","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminalization; Drug; State (computer science); Resistance (ecology); Power (physics); Social control; Drug class; Narcotic drugs; Narcotic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001341551,0.0003403221,0.000532712,0.003073993,0.01864885,0.005213837,0.001778128,0.001485727,0.007774872],"category_scores_gemma":[0.006958308,0.0005846307,0.0003685477,0.009253126,0.008365041,0.001817579,0.002413229,0.003386639,0.0005954209],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2215413,"about_ca_system_score_gemma":0.2246285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987335,"about_ca_topic_score_gemma":0.9993711,"domain_scores_codex":[0.9968899,0.0002177291,0.00007432897,0.0002289594,0.001492464,0.001096726],"domain_scores_gemma":[0.9945588,0.0007149924,0.0005881232,0.00009637147,0.002353231,0.001688527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002427232,0.0003320541,0.1879542,0.0008422766,0.00007901868,0.001639927,0.340827,0.001099324,0.0007043769,0.100362,0.1367805,0.2291367],"study_design_scores_gemma":[0.00002137143,0.00004969176,0.4895712,0.000881492,0.00003345061,0.0003201913,0.1352591,0.0006022835,0.0004035316,0.002434012,0.3702917,0.0001318982],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7062918,0.04232239,0.0007029385,0.07151128,0.000894195,0.0002223235,0.006672902,0.0001079961,0.1712742],"genre_scores_gemma":[0.9015742,0.02612035,0.0004873594,0.00302369,0.0001358308,0.00006219464,0.000793409,0.0000708218,0.0677321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2215413,"threshold_uncertainty_score":0.9029018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237843139157904,"score_gpt":0.3096920601724626,"score_spread":0.2859077462566722,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}