{"id":"W1765972217","doi":"10.1007/s10460-015-9660-5","title":"Will work for food: agricultural interns, apprentices, volunteers, and the agrarian question","year":2015,"lang":"en","type":"article","venue":"Agriculture and Human Values","topic":"Tourism, Volunteerism, and Development","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Workplace Safety and Insurance Board","keywords":"Apprenticeship; Agrarian society; Agriculture; Work (physics); Sociology; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007431332,0.0001819311,0.0002227581,0.00002987885,0.0008898953,0.0003794084,0.0001939876,0.0001378047,0.000007973554],"category_scores_gemma":[0.00009616675,0.00009113635,0.00009011746,0.0001362909,0.0003932159,0.0004338452,0.00007140002,0.0001327318,0.000004460197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005304533,"about_ca_system_score_gemma":0.00002974816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148095,"about_ca_topic_score_gemma":0.004570271,"domain_scores_codex":[0.9987437,0.0001860745,0.0002106683,0.000278901,0.0002910562,0.000289627],"domain_scores_gemma":[0.9993461,0.00009024134,0.0001036216,0.00009022087,0.0001828275,0.0001869967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000116409,0.0001216156,0.005731748,0.00004374619,0.0002445042,0.000001844976,0.3192597,0.000003402469,0.00003581088,0.1640345,0.5076041,0.002802625],"study_design_scores_gemma":[0.003254868,0.0003434548,0.1139396,0.0001818485,0.0002953677,0.00001029053,0.1431786,0.000003679971,0.00004204247,0.03377504,0.7042975,0.0006777287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780674,0.008762698,0.0002402565,0.004565866,0.0008113133,0.00113759,0.00002262584,0.0001850727,0.006207153],"genre_scores_gemma":[0.9909771,0.0003042163,0.00034453,0.0001892233,0.001059816,0.00008347532,0.00006375786,0.000006327156,0.006971558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1966934,"threshold_uncertainty_score":0.6844445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073082440104135,"score_gpt":0.2682815317992028,"score_spread":0.2475507073981614,"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."}}