{"id":"W7053001727","doi":"","title":"Striking from Below: Tenant Organizing as Insurgent Planning","year":2024,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Distrust; Politics; Corporate governance; Scholarship; Social movement; Community organizing; Qualitative research","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":[0.001351615,0.000491466,0.0002719593,0.001098808,0.01955301,0.006492999,0.001199845,0.001229326,0.008904576],"category_scores_gemma":[0.002952131,0.0002667989,0.0002908763,0.001662499,0.02568785,0.004213138,0.006066405,0.001902963,0.0005322671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02159824,"about_ca_system_score_gemma":0.01690489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4918954,"about_ca_topic_score_gemma":0.7329922,"domain_scores_codex":[0.9973642,0.001149024,0.00005899811,0.0002191718,0.0002900415,0.0009186019],"domain_scores_gemma":[0.9977397,0.0005828411,0.000269366,0.0001759125,0.0002607041,0.0009714685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004732089,0.00001405797,0.009907158,0.0001074236,0.000008292345,0.001435104,0.8680933,0.0002773356,0.0006608586,0.09523252,0.008032057,0.0161847],"study_design_scores_gemma":[0.000002547803,0.00002493688,0.009966808,0.0001551798,0.000009873179,0.0002298548,0.8396286,0.0002054489,0.0002987363,0.006666611,0.1427858,0.00002553348],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6679652,0.00313185,0.008376701,0.02152051,0.0004588911,0.0001170502,0.0002336001,0.0001328718,0.2980633],"genre_scores_gemma":[0.985956,0.0004435096,0.0007265816,0.0003097943,0.00002001712,0.00001519039,0.00005000213,0.00003409576,0.01244482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4918954,"threshold_uncertainty_score":0.9780645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008490977077081505,"score_gpt":0.1515374077810118,"score_spread":0.1430464307039303,"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."}}