{"id":"W4391018301","doi":"10.17742/image29692","title":"Reader Worlds: Constructing Context for Historical Readers of Pulp Fiction with Google Earth","year":2023,"lang":"en","type":"article","venue":"Imaginations Journal of Cross-Cultural Image Studies","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storytelling; Narrative; Reading (process); Lament; Ideology; Art; Humanities; Aesthetics; Sociology; Literature; History; Linguistics; Philosophy; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001454014,0.0005397309,0.0002479756,0.001762897,0.004912902,0.01046311,0.0009449949,0.001420992,0.007625666],"category_scores_gemma":[0.004466009,0.0003220074,0.0003281241,0.001479074,0.008545506,0.008523887,0.01003893,0.001306603,0.001151045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534152,"about_ca_system_score_gemma":0.001092352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110532,"about_ca_topic_score_gemma":0.009364796,"domain_scores_codex":[0.9989989,0.0006505921,0.00002218278,0.00008941944,0.0001040983,0.0001347768],"domain_scores_gemma":[0.9979492,0.001437712,0.0001167872,0.0002130036,0.00007968325,0.0002036064],"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":[0.00008164171,0.00004445849,0.003126235,0.000174191,0.000009080994,0.001601278,0.9141503,0.0001240697,0.001971499,0.04462647,0.004209803,0.02988096],"study_design_scores_gemma":[0.00002034252,0.00007022337,0.003293779,0.0004140985,0.00004554721,0.0009630741,0.6016557,0.0004948804,0.002331923,0.02225044,0.3684165,0.00004342979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6661444,0.001954272,0.03191458,0.00632314,0.0004164728,0.0001951434,0.0004582676,0.001189275,0.2914045],"genre_scores_gemma":[0.9723229,0.0006630358,0.007755871,0.000416032,0.0000857581,0.00008376312,0.00021909,0.0002841016,0.01816942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01046311,"threshold_uncertainty_score":0.02551043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107830747506596,"score_gpt":0.3595333042887006,"score_spread":0.2517025567821045,"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."}}