{"id":"W4294577691","doi":"10.1007/978-3-031-13231-5_1","title":"Immigrant Work Integration: A Wicked Problem","year":2022,"lang":"en","type":"book-chapter","venue":"International Marketing and Management Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Underemployment; Sketch; Sensemaking; Immigration; Work (physics); Unemployment; Economic shortage; Wicked problem; Key (lock); Political science; Sociology; Development economics; Public relations; Economic growth; Engineering; Computer science; Economics; Management; Computer security; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006624628,0.0001635292,0.0001485708,0.0005687198,0.0008675781,0.0003432411,0.0005386179,0.0001169615,0.008929619],"category_scores_gemma":[0.0001969169,0.0001678087,0.00007934282,0.0001675229,0.0003992962,0.0001203509,0.0004858209,0.0006833859,0.0000610319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000380382,"about_ca_system_score_gemma":0.00008564052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005097611,"about_ca_topic_score_gemma":0.002908788,"domain_scores_codex":[0.9967144,0.0003944182,0.0002995721,0.0004486469,0.001828922,0.0003141007],"domain_scores_gemma":[0.9987934,0.0004386047,0.0001215128,0.0001854912,0.0003540724,0.0001069481],"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":[0.000115617,0.00001990579,0.00003637344,0.00004095616,0.0001130548,0.00003544602,0.002916584,0.000004243012,5.135353e-7,0.898458,0.04119284,0.05706643],"study_design_scores_gemma":[0.0001552853,0.00001758266,0.0001062581,0.0002606368,0.00001357598,8.759608e-7,0.003415729,0.00009997141,8.265768e-8,0.01136078,0.9844036,0.0001656479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000168909,0.0002815019,0.00006841159,0.009835471,0.0003935514,0.0006705545,0.00001970147,0.00007573024,0.9884862],"genre_scores_gemma":[0.005801292,0.01342993,0.0006874579,0.000152773,0.0003320626,0.0001334605,0.0001447195,0.0000289785,0.9792894],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9432107,"threshold_uncertainty_score":0.9919764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0454173292378378,"score_gpt":0.3544659476498602,"score_spread":0.3090486184120224,"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."}}