{"id":"W3009059436","doi":"10.5430/elr.v9n1p32","title":"Narrative Technique as a Vehicle of Meaning in Shimmer Chinodya’s Harvest of Thorns","year":2020,"lang":"en","type":"article","venue":"English Linguistics Research","topic":"Literary Theory and Cultural Hermeneutics","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foregrounding; Narrative; Oppression; Sociology; Emotive; Diction; Relevance (law); Aesthetics; Character (mathematics); Disappointment; Epistemology; Psychology; Linguistics; Social psychology; Poetry; Law; Philosophy; Political science; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0007900393,0.0001123736,0.000243447,0.0001096025,0.0001468112,0.00006603377,0.0003089229,0.00006601686,0.0007979178],"category_scores_gemma":[0.008870633,0.00009555159,0.00005471585,0.0001903979,0.0004428755,0.00008007871,0.0001387279,0.0006051459,0.0000117749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002521058,"about_ca_system_score_gemma":0.00009159553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001713478,"about_ca_topic_score_gemma":0.00010148,"domain_scores_codex":[0.9984242,0.0003178461,0.0003808207,0.0002035157,0.0003999041,0.0002736634],"domain_scores_gemma":[0.9970858,0.0003051632,0.00008048426,0.000165103,0.002270361,0.00009311436],"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":[0.00008430794,0.0000717723,0.0001494236,0.0001348642,0.00001361472,0.00001082545,0.4158025,0.000008028873,0.0008252058,0.5824286,0.0003963127,0.0000745061],"study_design_scores_gemma":[0.001045433,0.001714469,0.0001435822,0.0007353593,0.00002439821,5.728496e-7,0.2833997,0.0005923496,0.09788398,0.09193343,0.5220182,0.0005085125],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2698207,0.0001028846,0.000003512759,0.00008015775,0.0003444634,0.0003869317,0.00005796783,0.00003851536,0.7291649],"genre_scores_gemma":[0.9966143,0.00001463248,0.0001228421,0.00006327865,0.001364746,0.00001995136,0.00001555076,0.00001857614,0.001766094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7273988,"threshold_uncertainty_score":0.999478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047013375420027,"score_gpt":0.3474535977173009,"score_spread":0.2427522601752983,"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."}}