{"id":"W2557737799","doi":"10.5304/jafscd.2016.062.010","title":"Transformations in Agricultural Non-waged Work: From Kinship to Intern and Volunteer Labor: A Research Brief","year":2016,"lang":"en","type":"article","venue":"Journal of Agriculture Food Systems and Community Development","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Toronto","funders":"","keywords":"Internship; Work (physics); Politics; Sociology; Sustainability; Kinship; Volunteer work; Agriculture; Political science; Economic growth; Public relations; Ecology; Economics; Law; Engineering","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":[0.002297402,0.0002055684,0.0003898359,0.00007049713,0.0005884529,0.0002159802,0.0003996289,0.0001484789,0.00001169464],"category_scores_gemma":[0.0001612397,0.00006001834,0.00005483863,0.0006851744,0.00005911669,0.0003625626,0.0001951637,0.0007065131,0.000004362509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002335241,"about_ca_system_score_gemma":0.00004400401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008452809,"about_ca_topic_score_gemma":0.006328391,"domain_scores_codex":[0.9974269,0.000832802,0.0007391533,0.0001607353,0.0004716122,0.0003687542],"domain_scores_gemma":[0.9982693,0.0006158212,0.0001641878,0.00006956772,0.0006175978,0.000263481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006291338,0.001202905,0.5288195,0.0002216064,0.0004227637,0.00003636596,0.1106867,0.000008256297,0.1325552,0.0004069623,0.02026877,0.2047419],"study_design_scores_gemma":[0.000431429,0.0004087751,0.9505301,0.0005995389,0.000005437068,0.00002555404,0.02439074,2.619197e-7,0.0006299973,0.0001238067,0.02265606,0.0001983055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934229,0.0004351205,0.000009787662,0.005397297,0.0001263577,0.0003366955,0.00002062292,0.00001174726,0.0002394646],"genre_scores_gemma":[0.9991181,0.00008297149,0.0001327798,0.00005605457,0.0001038089,0.00002817551,0.00001339927,0.000001236578,0.0004634839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4217106,"threshold_uncertainty_score":0.4525964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04183901276341578,"score_gpt":0.2563083746795995,"score_spread":0.2144693619161837,"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."}}