{"id":"W2092687084","doi":"10.1111/j.0066-4812.2006.00592.x","title":"Manufacturing Modernity: Cleaning, Dirt, and Neoliberalism in Chile","year":2006,"lang":"en","type":"article","venue":"Antipode","topic":"Political and Social Dynamics in Chile and Latin America","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia; University of Toronto","keywords":"Modernity; Neoliberalism (international relations); Dirt; Backwardness; Articulation (sociology); Modernization theory; Nexus (standard); Dictatorship; Sociology; Hegemony; Political economy; Political science; Economy; Democracy; Economic growth; Economics; Law; Engineering; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001755451,0.0001735885,0.0002209912,0.001195947,0.006118752,0.005818269,0.0006088748,0.0009289521,0.004048814],"category_scores_gemma":[0.001816835,0.0002205437,0.0001472444,0.001605543,0.01525381,0.002735522,0.006200975,0.001676293,0.0001676668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01414786,"about_ca_system_score_gemma":0.006309373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04044689,"about_ca_topic_score_gemma":0.05463222,"domain_scores_codex":[0.9989898,0.0004753457,0.00002069418,0.00007543041,0.0001623383,0.0002764543],"domain_scores_gemma":[0.9991511,0.0003451335,0.0001983274,0.00006158972,0.00008809289,0.0001556544],"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":[0.00005993692,0.0001439833,0.01452218,0.0002942861,0.00001477098,0.00134263,0.3437582,0.0006105587,0.0007802862,0.603693,0.006760985,0.02801926],"study_design_scores_gemma":[0.00006288539,0.00007500435,0.04685539,0.0005993289,0.00001235544,0.000307333,0.341987,0.0007396945,0.0005425557,0.08945723,0.5193018,0.00005940648],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6508437,0.009302659,0.000675432,0.06407475,0.00006419177,0.0000327922,0.00005195786,0.00002116901,0.2749334],"genre_scores_gemma":[0.9821283,0.002272322,0.0001546938,0.0008701434,0.00003387605,0.00002399479,0.00001401241,0.000009561577,0.01449317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04044689,"threshold_uncertainty_score":0.1026503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019561760351894,"score_gpt":0.2736514107994476,"score_spread":0.2634557931959287,"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."}}