{"id":"W2917527157","doi":"10.1108/jmp-06-2018-0255","title":"Gig-workers’ motivation: thinking beyond carrots and sticks","year":2019,"lang":"en","type":"article","venue":"Journal of Managerial Psychology","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":328,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Concordia University","funders":"","keywords":"Leverage (statistics); Social media; Originality; Knowledge management; Context (archaeology); Job design; Employee motivation; Work motivation; Conceptual framework; Set (abstract data type); Psychology; Public relations; Marketing; Social psychology; Sociology; Job performance; Work (physics); Business; Job satisfaction; Computer science; Creativity; Engineering; Political science; Social science","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":[0.006432492,0.0007617562,0.000738815,0.002838054,0.003828737,0.008268579,0.002125937,0.002876423,0.006150715],"category_scores_gemma":[0.01315092,0.0004043003,0.0008674109,0.001628358,0.02324046,0.0113056,0.003920538,0.004514719,0.0007491651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003196897,"about_ca_system_score_gemma":0.002940689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338351,"about_ca_topic_score_gemma":0.00274881,"domain_scores_codex":[0.9967903,0.001685546,0.00009846024,0.0005081281,0.0006424125,0.0002751024],"domain_scores_gemma":[0.9931499,0.004301282,0.0007039985,0.0004975044,0.0006200897,0.0007272206],"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":[0.00004372471,0.00007441301,0.005171413,0.0002198521,0.00003300816,0.0002547062,0.01821653,0.0007707988,0.000179068,0.9429069,0.003589908,0.02853967],"study_design_scores_gemma":[0.00002323376,0.00007728804,0.00351757,0.0006427171,0.00002473405,0.0001087428,0.01574771,0.002588659,0.000178042,0.9278105,0.04923877,0.00004192351],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2689254,0.02542458,0.1663131,0.2099513,0.003421588,0.0006109185,0.0003229825,0.0003169237,0.3247132],"genre_scores_gemma":[0.9690439,0.003118329,0.01426403,0.005029114,0.000459402,0.0002802826,0.00004569701,0.00007170182,0.007687551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008268579,"threshold_uncertainty_score":0.03401864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697257733698778,"score_gpt":0.29535621602921,"score_spread":0.2783836386922222,"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."}}