{"id":"W3123633809","doi":"10.7202/1074565ar","title":"‘Smart’ Industrial Relations in the Making? Insights from Analysis of Union Responses to Digitalization in Italy","year":2021,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Adaptation (eye); Psychological intervention; Intervention (counseling); Industrial relations; Ideology; Power (physics); Economic system; Political economy; Sociology; Public relations; Economics; Politics; Psychology; Law","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":[0.00308699,0.0001582487,0.0002794949,0.001667781,0.002485268,0.006080781,0.0008357041,0.0009873549,0.005120065],"category_scores_gemma":[0.004422397,0.0001858425,0.0002824762,0.003036142,0.006020565,0.002573539,0.002993757,0.0009632361,0.0005327295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00507942,"about_ca_system_score_gemma":0.001916132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129328,"about_ca_topic_score_gemma":0.02029544,"domain_scores_codex":[0.9981629,0.0008131681,0.00004953314,0.0001894212,0.0003390398,0.0004460253],"domain_scores_gemma":[0.9980649,0.001040225,0.000490935,0.0001863265,0.00007916226,0.0001384954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002709414,0.0002333875,0.1329232,0.000472436,0.00004990463,0.001916156,0.6114345,0.002867567,0.002033717,0.1503725,0.007851408,0.0895742],"study_design_scores_gemma":[0.00001945039,0.00008053702,0.4459187,0.0004707112,0.00003437498,0.0002492617,0.404747,0.003050612,0.0004456111,0.02192703,0.1230148,0.00004194435],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9077954,0.0007274947,0.002171118,0.003807375,0.00003050399,0.00003860301,0.0001117238,0.00003247059,0.08528523],"genre_scores_gemma":[0.996107,0.00028889,0.0004084252,0.0002216084,0.00002371894,0.0000186295,0.00007698058,0.00001750784,0.00283718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01129328,"threshold_uncertainty_score":0.03685391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04647961682773794,"score_gpt":0.3096178376753529,"score_spread":0.263138220847615,"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."}}