{"id":"W4323666593","doi":"10.1080/07393148.2023.2181538","title":"Power from Below: An Interview with Nargess Mustapha, Co-Founder of Hoodstock (2022 Cloward & Piven Award Recipients)","year":2023,"lang":"en","type":"article","venue":"New Political Science","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Caucus; Politics; Power (physics); Sociology; Interview; Political science; Gender studies; Media studies; Public administration; Management; Law; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005184012,0.0004800041,0.0009989723,0.001478973,0.03529984,0.005931896,0.00142928,0.003823548,0.005610571],"category_scores_gemma":[0.01250883,0.0010585,0.0003271988,0.001341598,0.01135581,0.006847885,0.003985341,0.0148018,0.001214548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01318634,"about_ca_system_score_gemma":0.01309729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2261735,"about_ca_topic_score_gemma":0.3065235,"domain_scores_codex":[0.994312,0.003234539,0.0001282756,0.0004801731,0.0008448838,0.001000141],"domain_scores_gemma":[0.9914405,0.003947357,0.0004761483,0.0001364168,0.001146071,0.002853445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001768439,0.00006829824,0.001472009,0.00003063542,0.000003593976,0.000842454,0.9521185,0.00002914067,0.0005888146,0.003206479,0.0382195,0.003402908],"study_design_scores_gemma":[0.000002443775,0.00001919747,0.001429303,0.00007906502,0.000002007654,0.0002056062,0.9336871,0.00007050238,0.0001043318,0.0003137835,0.06406698,0.00001972633],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.693487,0.00352733,0.001325252,0.2601767,0.002276587,0.0002350459,0.0002491449,0.00007649264,0.03864648],"genre_scores_gemma":[0.9301798,0.002199792,0.000662739,0.02960148,0.0001770487,0.00019056,0.00006583342,0.00009915166,0.03682361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2261735,"threshold_uncertainty_score":0.4497141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06830249414509805,"score_gpt":0.3895223465278889,"score_spread":0.3212198523827908,"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."}}