{"id":"W2140818397","doi":"10.1191/1474474005eu322oa","title":"Landscape and scale in media representations: the construction of offshore farm labour in Ontario, Canada","year":2004,"lang":"en","type":"article","venue":"Cultural Geographies","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Subordination (linguistics); Work (physics); Scale (ratio); Newsprint; Sociology; Political science; Economy; Economic geography; Geography; Engineering; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00111178,0.0002757162,0.0002292049,0.003436675,0.01469113,0.007588764,0.001129013,0.0007175304,0.004081469],"category_scores_gemma":[0.004464176,0.000329907,0.0001701308,0.00520875,0.01068882,0.002062285,0.003968366,0.0009909194,0.0001652473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06355364,"about_ca_system_score_gemma":0.0439568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851294,"about_ca_topic_score_gemma":0.9945123,"domain_scores_codex":[0.9989673,0.0002176159,0.00003348777,0.0001186633,0.0003644325,0.0002985637],"domain_scores_gemma":[0.9971988,0.0009313889,0.0004942158,0.0001524848,0.0007586841,0.0004644709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000479165,0.00001578279,0.04629688,0.00007129889,0.000009307481,0.0008336403,0.9252793,0.0001371575,0.0007168188,0.005830047,0.003480734,0.01728122],"study_design_scores_gemma":[0.000003553768,0.00001111674,0.08349448,0.0001223294,0.00001280973,0.0001120879,0.8708378,0.0001871926,0.0002094884,0.000454257,0.04453136,0.00002342199],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546804,0.0005474828,0.0002879222,0.003188095,0.00004143121,0.00003717024,0.000338834,0.00001383373,0.04086488],"genre_scores_gemma":[0.9927764,0.0004753323,0.0002146314,0.0001256523,0.000009356554,0.00001548135,0.00009161369,0.00001786819,0.006273635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06355364,"threshold_uncertainty_score":0.4611161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008493840471994266,"score_gpt":0.2121122786330229,"score_spread":0.2036184381610286,"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."}}