{"id":"W4387321424","doi":"10.1007/978-3-031-41348-3","title":"Migration and Identity through Creative Writing","year":2023,"lang":"en","type":"book","venue":"IMISCOE research series","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Storytelling; Narrative; Creative writing; Identity (music); Variety (cybernetics); Sociology; Aesthetics; Visual arts; Art; Literature; Computer science; Artificial intelligence","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":[0.0007397844,0.0004814749,0.0002092796,0.0005915527,0.003985473,0.009994114,0.0006363103,0.000910076,0.01941445],"category_scores_gemma":[0.002290199,0.0001447311,0.0002544202,0.0008239858,0.005929788,0.004655249,0.003228033,0.001649288,0.003808161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009619449,"about_ca_system_score_gemma":0.001325509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009089278,"about_ca_topic_score_gemma":0.001538091,"domain_scores_codex":[0.9993865,0.0003062783,0.00001925114,0.00005436026,0.0001645083,0.00006891068],"domain_scores_gemma":[0.9992641,0.0004345214,0.00004796381,0.00008637061,0.00006719139,0.00009990123],"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":[0.00001954622,0.00004257524,0.0001701766,0.0001980075,0.000004380894,0.0004397818,0.04868399,0.0001977386,0.0004729513,0.722336,0.1333723,0.09406257],"study_design_scores_gemma":[0.0000059175,0.00001092617,0.0001560895,0.0002538979,0.000001876091,0.0003823286,0.01512023,0.0001285907,0.0002911864,0.06317627,0.9204663,0.000006296408],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007132679,0.00762534,0.003763505,0.006172395,0.001787729,0.00003529615,0.00003435773,0.000107363,0.9733415],"genre_scores_gemma":[0.1304835,0.007263849,0.003757569,0.001480339,0.0005751193,0.00007681044,0.0000724062,0.0001265031,0.8561638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01941445,"threshold_uncertainty_score":0.06494784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1496064811062559,"score_gpt":0.4549818537858185,"score_spread":0.3053753726795625,"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."}}