{"id":"W4396832233","doi":"10.1145/3613904.3642263","title":"Migrant Farmworkers' Experiences of Agricultural Technologies: Implications for Worker Sociality and Desired Change","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affect (linguistics); Psychological intervention; Sociality; Solidarity; SAFER; Public relations; Work (physics); Situated; Agriculture; Psychology; Business; Social psychology; Political science; Engineering; Computer security; Geography; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001904487,0.00005065176,0.00007991263,0.00003142304,0.0002199301,0.0001126786,0.00009121266,0.00007230286,0.00001289159],"category_scores_gemma":[0.0000298486,0.00003670379,0.00005181495,0.0002431618,0.0002994258,0.0005612872,0.000009879856,0.00002638038,0.000001825868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002286247,"about_ca_system_score_gemma":0.00003093841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001282652,"about_ca_topic_score_gemma":0.0004074849,"domain_scores_codex":[0.9995638,0.00001136681,0.0001339397,0.0001110197,0.00004653203,0.0001333757],"domain_scores_gemma":[0.9997683,0.0001065581,0.00002423987,0.00004251597,0.00003551486,0.00002284289],"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":[0.000005537267,0.00002494441,0.0007044328,0.00004346735,0.00002485554,3.713231e-8,0.2103602,2.073689e-7,0.00002765479,0.4158937,0.001073876,0.3718411],"study_design_scores_gemma":[0.0001445292,0.00005150317,0.01667868,0.000102932,0.00002756146,6.396931e-7,0.8298369,0.00002493798,0.0005499603,0.03981395,0.1125424,0.0002259804],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184609,0.002784773,0.004024555,0.02857684,0.0003340666,0.001332784,0.00003795397,0.0006608376,0.04378727],"genre_scores_gemma":[0.9987143,0.0001248892,0.0003949159,0.00003689739,0.00003901274,0.0004096594,0.000005468617,0.000001902833,0.0002729289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6194767,"threshold_uncertainty_score":0.1691546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06026223483163876,"score_gpt":0.3149835632846711,"score_spread":0.2547213284530323,"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."}}