{"id":"W2089861453","doi":"10.3366/hls.2010.0101","title":"Language in Nationalism: Modern Hebrew in the Zionist Project","year":2010,"lang":"en","type":"article","venue":"Holy Land Studies","topic":"Jewish and Middle Eastern Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Zionism; Nationalism; Hebrew; Vernacular; Land of Israel; Legitimacy; Judaism; Politics; Lingua franca; Jewish history; Haskalah; State (computer science); Scholarship; History; Political science; Jewish state; Classics; Law; Linguistics; Jewish studies; Philosophy; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001791844,0.0001953252,0.0002151028,0.0009679311,0.006562813,0.004893928,0.0003073012,0.0008101792,0.001825463],"category_scores_gemma":[0.001015392,0.0001574435,0.00006708905,0.0009563755,0.01412576,0.003159385,0.002133129,0.001454906,0.0002080556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006517684,"about_ca_system_score_gemma":0.001691461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01982237,"about_ca_topic_score_gemma":0.04339147,"domain_scores_codex":[0.9991269,0.0004381157,0.00002840868,0.0000853708,0.0000965576,0.0002245552],"domain_scores_gemma":[0.999719,0.0001215204,0.00005249977,0.00002300307,0.00003489666,0.00004899736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000479841,0.00003010312,0.003263046,0.00004482602,0.000005365808,0.0002116738,0.2240102,0.00004552441,0.0008374171,0.7532305,0.0009584422,0.01731494],"study_design_scores_gemma":[0.00008838843,0.000246499,0.06811009,0.0007035898,0.00002909209,0.0008513627,0.2812263,0.0005336609,0.001387408,0.1660968,0.480661,0.00006588282],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7061555,0.01397888,0.0009201236,0.007681611,0.0001527484,0.00001309704,0.00002752321,0.00001150009,0.271059],"genre_scores_gemma":[0.9954088,0.001005437,0.00009263278,0.0001920471,0.00002350571,0.000003634451,0.000006239789,0.000003509031,0.003264168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01982237,"threshold_uncertainty_score":0.04728931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05557384740144518,"score_gpt":0.364397654780822,"score_spread":0.3088238073793768,"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."}}