{"id":"W6922080744","doi":"10.7939/r3-t6sm-7t28","title":"Fishing via Meaning Infrastructure: Entrepreneurial Search and Possibility Development in the Emergent AI & ML Field","year":2023,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Entrepreneurship; Metaphor; Field (mathematics); Archetype; Scope (computer science); Institutionalisation; Fishing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001636733,0.0002583523,0.0002260036,0.002347885,0.003265175,0.00911182,0.0007778243,0.0009965474,0.006279188],"category_scores_gemma":[0.003630668,0.0002996621,0.0004815338,0.001830772,0.01808537,0.01268074,0.006018538,0.001873251,0.0003450257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005269908,"about_ca_system_score_gemma":0.003816274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006580364,"about_ca_topic_score_gemma":0.009087647,"domain_scores_codex":[0.9989905,0.0004447523,0.00004723056,0.0001098741,0.0001595408,0.0002480179],"domain_scores_gemma":[0.9981133,0.001169041,0.0002262917,0.000133363,0.0001060718,0.000252025],"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":[0.00003005639,0.00003223602,0.006208174,0.00009838471,0.000007118291,0.0005710246,0.06330518,0.0007825891,0.0006029306,0.8959091,0.001079084,0.03137396],"study_design_scores_gemma":[0.00002688135,0.00008069957,0.02000888,0.0003837199,0.00002735774,0.0007567443,0.1350369,0.008249789,0.000918288,0.7186583,0.1157899,0.00006268972],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.417552,0.002655654,0.06840169,0.009346285,0.00009473149,0.000119733,0.00009496568,0.0001183163,0.5016167],"genre_scores_gemma":[0.9871486,0.0005976191,0.005676179,0.0001474729,0.00001580932,0.00004837158,0.00002369825,0.00001915552,0.006323099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9967348,"threshold_uncertainty_score":0.03823608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165822215907837,"score_gpt":0.2507560761379972,"score_spread":0.2290978539789189,"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."}}