{"id":"W2145883531","doi":"10.5539/ass.v8n15p31","title":"Impact of Nationality on Employees’ Perception towards Human Resource Management Policies","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"International Student and Expatriate Challenges","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Nationality; Globalization; Human resource management; Perception; Perspective (graphical); Work (physics); Business; Human resources; Organizational culture; Public relations; Affect (linguistics); Marketing; Political science; Sociology; Management; Psychology; Immigration; Economics; Computer science","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":[0.002963827,0.0001139337,0.0001775388,0.0004409542,0.00109605,0.001458831,0.0001929457,0.0003645722,0.003990557],"category_scores_gemma":[0.00578457,0.0001186634,0.0002740269,0.000402708,0.0008215052,0.0005310422,0.001038257,0.0007418087,0.0002852467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006801167,"about_ca_system_score_gemma":0.0009792248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006487657,"about_ca_topic_score_gemma":0.009685485,"domain_scores_codex":[0.9979377,0.0009710138,0.0001375188,0.0001315215,0.0004256332,0.0003965528],"domain_scores_gemma":[0.9899139,0.004016282,0.002609852,0.0003218182,0.00112844,0.002009751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001420791,0.0003210505,0.9614823,0.00004646431,0.00004720993,0.0002476914,0.02292121,0.0001273107,0.0008604097,0.0005172839,0.000380197,0.01290687],"study_design_scores_gemma":[0.000002696116,0.0001957176,0.941209,0.00003906207,0.00001442712,0.00007102206,0.0570616,0.00013746,0.0002046265,0.0001122413,0.0009404704,0.00001179129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978889,0.00004478609,0.00002228685,0.0001828781,0.000005124167,0.000002414657,0.000009484431,6.616279e-7,0.001843471],"genre_scores_gemma":[0.9995565,0.00004741496,0.00001985196,0.00004929403,0.00000299823,0.000002540912,0.00001165395,6.41591e-7,0.0003092227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006487657,"threshold_uncertainty_score":0.01567441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0581678064545024,"score_gpt":0.4272213917908462,"score_spread":0.3690535853363437,"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."}}