{"id":"W4404227854","doi":"10.1080/15295036.2024.2417987","title":"Assessing inequalities in storytelling &amp; narrative media: conceptualizing a Freirean methodology","year":2024,"lang":"en","type":"article","venue":"Critical Studies in Media Communication","topic":"Critical Race Theory in Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Social Sciences and Humanities Research Council; University of Alberta","funders":"","keywords":"Storytelling; Narrative; Sociology; Inequality; Narrative inquiry; Gender studies; Media studies; Art; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.009886053,0.0001747861,0.0004397312,0.0002997526,0.0005615931,0.0001928308,0.00050547,0.0002002951,0.0001545227],"category_scores_gemma":[0.1066326,0.0001823766,0.00005707113,0.000821238,0.004671653,0.0008547938,0.0002164051,0.0008585322,0.0000314175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009700994,"about_ca_system_score_gemma":0.0002519533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007882978,"about_ca_topic_score_gemma":0.02749772,"domain_scores_codex":[0.9911181,0.006924753,0.0006591313,0.000352804,0.0004237503,0.0005214392],"domain_scores_gemma":[0.9164954,0.08262938,0.00004555664,0.0004110255,0.0003017859,0.0001168372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004624226,0.00004209724,0.0001349306,0.00005824669,0.000008843613,0.000004738673,0.5247732,0.000005184967,0.00004853181,0.4698053,0.00006052746,0.005053766],"study_design_scores_gemma":[0.00007706754,0.000005932161,0.0002055792,0.0006540841,0.00001610172,0.000001123353,0.6569176,0.00008281075,0.00002773219,0.3390745,0.002799379,0.0001381872],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8650221,0.07548738,0.005015739,0.04121194,0.003946171,0.0004276041,0.000006719505,0.0002969608,0.008585356],"genre_scores_gemma":[0.9751604,0.004669806,0.01930087,0.000262765,0.0003790837,0.000160423,0.00002070475,0.00002118893,0.00002476696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1321443,"threshold_uncertainty_score":0.998037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5404950960655616,"score_gpt":0.5891275842379837,"score_spread":0.04863248817242216,"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."}}