{"id":"W3208833122","doi":"10.32920/ryerson.14647497.v1","title":"The invitation: niche audiences, participatory culture, and The Hype Machine","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Crowdsourcing; Participatory culture; Social media; News aggregator; Citizen journalism; Context (archaeology); Active listening; Information overload; Computer science; Filter (signal processing); Data science; Workflow; Sociology; World Wide Web; History; Communication","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008284618,0.0003653197,0.0004339977,0.003269646,0.003400035,0.007261681,0.000785004,0.001078195,0.005283704],"category_scores_gemma":[0.03630516,0.0003744326,0.0003284828,0.002969269,0.01096807,0.0104532,0.005773041,0.00139743,0.000596501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008976681,"about_ca_system_score_gemma":0.0008407636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002259748,"about_ca_topic_score_gemma":0.003198619,"domain_scores_codex":[0.9935927,0.003653076,0.0002175236,0.001045002,0.001092388,0.0003993081],"domain_scores_gemma":[0.954716,0.0330123,0.004485583,0.00476463,0.001516122,0.001505378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005678165,0.0002085126,0.1433952,0.0005688344,0.0001120652,0.00106473,0.5200131,0.0008097622,0.00734344,0.1259632,0.005207733,0.1947456],"study_design_scores_gemma":[0.00009930183,0.0005577937,0.1807781,0.0006144738,0.0001498669,0.00201203,0.4186731,0.01259085,0.007295662,0.2010541,0.1759601,0.0002145997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8852904,0.001292325,0.02674753,0.006457189,0.0001573193,0.0001028896,0.0003168901,0.0003022383,0.07933322],"genre_scores_gemma":[0.9939819,0.0001721236,0.002842193,0.0001694185,0.000106206,0.00005606092,0.00005305747,0.00007233323,0.002546705],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008284618,"threshold_uncertainty_score":0.04381377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014840035352299,"score_gpt":0.2679517298124893,"score_spread":0.1664677262772594,"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."}}