{"id":"W3186449740","doi":"10.1111/tesg.12491","title":"Accounting for Absences and Ambiguities in the Freelancing Labour Relation","year":2021,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Flexibility (engineering); Work (physics); Mediation; Relation (database); Identity (music); Labour law; Constraint (computer-aided design); Labour economics; Economics; Political science; Engineering; Law; Management; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02909612,0.0004854447,0.001057685,0.005658728,0.006032376,0.01085797,0.004030305,0.001539469,0.006551832],"category_scores_gemma":[0.1106811,0.0004484057,0.0006469387,0.007641758,0.02326197,0.01091689,0.01160521,0.00360959,0.0004364323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01422851,"about_ca_system_score_gemma":0.01329598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.129566,"about_ca_topic_score_gemma":0.139482,"domain_scores_codex":[0.9752768,0.0101684,0.001759669,0.002804327,0.007155317,0.002835506],"domain_scores_gemma":[0.901091,0.06031374,0.01581209,0.0109647,0.008732543,0.003085979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000245814,0.0001332233,0.1510836,0.0005445865,0.0000980332,0.0009385629,0.09025121,0.006303855,0.0003635295,0.6656795,0.003285116,0.08107296],"study_design_scores_gemma":[0.00003637921,0.000105554,0.1450381,0.002087887,0.0001323101,0.0004593458,0.1289066,0.01891328,0.0008284586,0.6466239,0.05666158,0.0002066311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8069074,0.003521834,0.06082915,0.01366768,0.0002883011,0.0001927853,0.001011934,0.0001080416,0.1134729],"genre_scores_gemma":[0.9951968,0.0001775824,0.002793022,0.00009082755,0.0000289012,0.00002359135,0.000133842,0.00001700101,0.001538398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.129566,"threshold_uncertainty_score":0.2576237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430181059076205,"score_gpt":0.2610301071040973,"score_spread":0.2467282965133352,"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."}}