{"id":"W4407196664","doi":"10.15173/glj.v15i3.5965","title":"Hardship in Nigeria: Popular Resistance and State Repression","year":2024,"lang":"en","type":"article","venue":"Global Labour Journal","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological repression; Resistance (ecology); State (computer science); Political science; Computer science; Biology; Ecology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001826165,0.0003751697,0.0003237688,0.001308609,0.01618369,0.01037982,0.0005488468,0.002231458,0.01156183],"category_scores_gemma":[0.003782709,0.0004062077,0.0002025691,0.001750963,0.0111998,0.004200993,0.006697709,0.004753788,0.0009409416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00392361,"about_ca_system_score_gemma":0.002599204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007903731,"about_ca_topic_score_gemma":0.01442828,"domain_scores_codex":[0.9982532,0.0006515696,0.00007632354,0.0001340808,0.0002764647,0.0006084007],"domain_scores_gemma":[0.9980276,0.0008021322,0.0004816786,0.00008661277,0.0001583096,0.0004435189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001472229,0.0002114715,0.02349844,0.0005421037,0.00003590258,0.003594304,0.6499295,0.0001000305,0.001073461,0.1806929,0.06818458,0.07199004],"study_design_scores_gemma":[0.00002168277,0.00007210013,0.0258319,0.0009340649,0.00001997647,0.0007550515,0.553406,0.000154021,0.0003882168,0.009988661,0.4083809,0.00004750386],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5497314,0.01402948,0.0004506285,0.1227845,0.002574116,0.00006776659,0.0001197884,0.0000446087,0.3101977],"genre_scores_gemma":[0.9639875,0.005073589,0.00009604113,0.006717816,0.0005087388,0.00003174724,0.00003407047,0.00004055375,0.02350986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01618369,"threshold_uncertainty_score":0.03867823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009570721361300348,"score_gpt":0.2952136793442224,"score_spread":0.2856429579829221,"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."}}