{"id":"W2108643761","doi":"","title":"Making Development Marketable: The Politics of Image and Representation within Consumer Driven Schemes of Development Fundraising","year":2011,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Tourism, Volunteerism, and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Representation (politics); Development (topology); Business; Image (mathematics); Public relations; Marketing; Computer science; Political science; Mathematics; Artificial intelligence; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007295719,0.0001285696,0.0002161643,0.00003076768,0.0004088766,0.00001777802,0.0001893869,0.0000261708,0.00004106167],"category_scores_gemma":[0.00001707666,0.0001098396,0.00001713362,0.0000982485,0.0003375803,0.0002676213,0.000156647,0.00007750909,2.171658e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000156534,"about_ca_system_score_gemma":0.003856832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006170336,"about_ca_topic_score_gemma":0.02708053,"domain_scores_codex":[0.9978131,0.0001092112,0.0004635073,0.0001773707,0.001180118,0.0002566641],"domain_scores_gemma":[0.999204,0.0002176078,0.0003252341,0.00012127,0.000004086226,0.0001278442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005974102,0.0001579109,0.5802358,0.0008336857,0.0007869086,0.000072446,0.1883538,0.00001261365,0.01326621,0.1792922,0.001805627,0.03458535],"study_design_scores_gemma":[0.0004952366,0.00003079065,0.5372646,0.0003986762,0.000046208,0.000004565986,0.1192182,0.0001288134,0.29623,0.001529109,0.0442495,0.0004043268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9064692,0.0006671807,0.0003349734,0.0005318172,0.0001757428,0.0002591204,0.00002282959,0.000008771158,0.09153039],"genre_scores_gemma":[0.971054,0.0001136901,0.02666563,0.0001596928,0.00001671827,0.000005748768,0.000001987491,0.00001016574,0.001972429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2829638,"threshold_uncertainty_score":0.9906727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772529963817072,"score_gpt":0.2108638818022308,"score_spread":0.1931385821640601,"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."}}