{"id":"W2765684228","doi":"","title":"Global to Village| Reading Movement in the Everyday: The Rise of Guangchangwu in a Chinese Village","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Popularity; China; Context (archaeology); Politics; Gender studies; Public space; Reading (process); Sociology; Phenomenon; Media studies; Geography; History; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005879737,0.0002502015,0.0005870431,0.0003496736,0.001125663,0.0009725261,0.006047345,0.0001005379,0.0009614108],"category_scores_gemma":[0.001498064,0.0001574062,0.0001911518,0.001267144,0.0003890698,0.001486495,0.0009221608,0.0002813359,0.000009566408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002962297,"about_ca_system_score_gemma":0.0001822348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03037966,"about_ca_topic_score_gemma":0.02540328,"domain_scores_codex":[0.9966732,0.0008863425,0.0007086525,0.0003409155,0.001024333,0.0003666114],"domain_scores_gemma":[0.9975718,0.0003881452,0.0008320551,0.0008948267,0.0001512866,0.0001618874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002403655,0.0002730205,0.9592334,0.0000361696,0.00004745344,0.00006946463,0.0221077,0.0002097801,0.002225193,0.005366256,0.005915024,0.004276189],"study_design_scores_gemma":[0.0004109428,0.00001003235,0.8654517,0.0002635669,0.00001841219,0.00000177605,0.0007018219,0.00001997237,0.0001052215,0.1207612,0.0120249,0.0002304703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235009,0.003270026,0.00001194447,0.003027235,0.0006655128,0.000827404,0.00004461206,0.000009504794,0.06864287],"genre_scores_gemma":[0.9977369,0.000859784,0.00002482539,0.0008570241,0.0003363347,0.00004841031,0.000001146667,0.00001529351,0.0001202713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115395,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2081979680140064,"score_gpt":0.5563030879161438,"score_spread":0.3481051199021373,"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."}}