{"id":"W2139348906","doi":"10.7202/044662ar","title":"Can multicultural human resources management problems be solved by an organisational culture?","year":2010,"lang":"en","type":"article","venue":"Management international","topic":"International Student and Expatriate Challenges","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiculturalism; Mediation; Globalization; Human resource management; Knowledge management; Business; Work (physics); Organizational culture; Identity (music); Public relations; Human resources; Sociology; Political science; Management; Engineering; Economics; Computer science; Social 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004777182,0.0001979616,0.0001169156,0.0001430908,0.0008028345,0.0004363333,0.001041263,0.00009682852,0.002079683],"category_scores_gemma":[0.00001622786,0.0001839189,0.0000860153,0.0001177198,0.0001665731,0.0003769269,0.0002232725,0.0002106029,0.00007524595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001916618,"about_ca_system_score_gemma":0.000008144555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148868,"about_ca_topic_score_gemma":0.006229257,"domain_scores_codex":[0.9975531,0.00005265623,0.0003012437,0.0004268411,0.001330523,0.0003356418],"domain_scores_gemma":[0.9993307,0.00001939092,0.0001434526,0.0001670161,0.0002067853,0.0001326463],"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":[0.00004306604,0.0009816036,0.005024475,0.00003765136,0.000890241,0.00003264229,0.1452304,0.00006184715,0.004505572,0.7576995,0.08273051,0.002762388],"study_design_scores_gemma":[0.001114079,0.00004437348,0.006464883,0.00002128688,0.000045898,0.000001155814,0.07307862,0.00008574263,0.0002450924,0.00490499,0.9135898,0.0004041262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6462076,0.00002122115,0.00007575467,0.01473298,0.001902115,0.0006649928,0.00007150327,0.0002293558,0.3360944],"genre_scores_gemma":[0.9459828,0.0001350277,0.001305113,0.0006132041,0.0008516994,0.00007188896,0.0006903147,0.00001950052,0.05033045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8308592,"threshold_uncertainty_score":0.9988325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438499386858646,"score_gpt":0.3115808228480774,"score_spread":0.287195828979491,"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."}}