{"id":"W2902407696","doi":"10.1080/16078055.2018.1550438","title":"The transformative (and potentially discriminatory) possibilities of animating public space","year":2018,"lang":"en","type":"article","venue":"World Leisure Journal","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transformative learning; Public space; Placemaking; Space (punctuation); Sociology; Globe; Public relations; Power (physics); Warrant; Animation; Aesthetics; Media studies; Political science; Visual arts; Architecture; Computer science; Psychology; Urban design; Architectural engineering; Business; Engineering; Art","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002183648,0.00008610681,0.0001475695,0.00009758258,0.001635026,0.0002815289,0.0002107828,0.00003481347,0.000174172],"category_scores_gemma":[0.0002402677,0.0000547152,0.0000813295,0.0002460698,0.0007643006,0.0005998122,0.00001879671,0.0002250466,0.000003555526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005297273,"about_ca_system_score_gemma":0.0003352234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002012752,"about_ca_topic_score_gemma":0.008545927,"domain_scores_codex":[0.9986896,0.0001671986,0.0002789369,0.00007395856,0.0004365062,0.000353836],"domain_scores_gemma":[0.9990907,0.0001371681,0.0002425759,0.00008213449,0.0002610317,0.0001864373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001663931,0.0001267539,0.04545878,0.00005111577,0.0001925616,0.00001416603,0.2990112,0.000001079476,0.001364437,0.5476309,0.007879179,0.09810344],"study_design_scores_gemma":[0.0009877426,0.0003578495,0.08617102,0.0002805046,0.0001076201,0.00005748993,0.08613432,0.00002761333,0.002152734,0.02315758,0.800187,0.0003785111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447126,0.0005127079,0.0002542499,0.009011908,0.0005540951,0.0001200673,0.000002083291,0.00001769609,0.04481464],"genre_scores_gemma":[0.994888,0.0001164654,0.0003121624,0.00003338233,0.0005004569,9.922898e-7,2.345417e-7,0.000006912458,0.004141404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7923079,"threshold_uncertainty_score":0.9996647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055356814635692,"score_gpt":0.314106483618112,"score_spread":0.2835529154717551,"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."}}