{"id":"W4229001556","doi":"10.22329/il.v40i4.6571","title":"Books Received","year":2020,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Innovative Teaching Methodologies in Social Sciences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Civility; Politeness; Argument (complex analysis); Notice; Politics; Face (sociological concept); Democracy; Political science; Law and economics; Adversary; Sociology; Law; Social science; Computer security; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001313644,0.0001061794,0.0001703449,0.00004713803,0.001874954,0.00002811014,0.0006543308,0.0001247004,0.0003039491],"category_scores_gemma":[0.001444356,0.0001152598,0.00008142894,0.0006616287,0.0005554983,0.0002091743,0.0002326249,0.00022822,0.0001132945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003510427,"about_ca_system_score_gemma":0.0001113794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0103967,"about_ca_topic_score_gemma":0.01878148,"domain_scores_codex":[0.9980854,0.0007013234,0.0001095435,0.0002792615,0.000394645,0.0004297948],"domain_scores_gemma":[0.9991172,0.0003284119,0.0001198392,0.0001244319,0.00009532752,0.0002148067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001073782,0.00002586831,0.004501425,0.00000793117,0.00005120441,0.0003274426,0.1072232,0.00004506805,0.002977268,0.6008714,0.1560755,0.1277864],"study_design_scores_gemma":[0.0001714993,0.00004474714,0.0007501926,0.000004175198,0.00001212697,0.000001857477,0.02209211,0.00004975812,0.0001476755,0.004870118,0.971697,0.0001587059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2222969,0.002117872,0.008024704,0.2850712,0.0006190985,0.0003706461,0.00001169113,0.0008028153,0.4806851],"genre_scores_gemma":[0.9403148,0.001551593,0.02303243,0.005705028,0.0006902292,0.000005328134,0.000004209124,0.00002316693,0.02867319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8156216,"threshold_uncertainty_score":0.9994245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05462322626476723,"score_gpt":0.2690528213187595,"score_spread":0.2144295950539922,"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."}}