{"id":"W4378696763","doi":"10.22215/ff/v2.i2.04","title":"Land acknowledgements and knowledge rematriation: Considerations of place, and respecting Indigenous intellectual property in podcasts","year":2023,"lang":"en","type":"article","venue":"Facts & Frictions Emerging Debates Pedagogies and Practices in Contemporary Journalism","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"Mount Royal University","keywords":"Acknowledgement; Indigenous; Traditional knowledge; Intellectual property; Property (philosophy); Reflexivity; Sociology; Political science; Law; Social science; Computer science; Ecology; Epistemology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001945349,0.0001719956,0.000323158,0.0007395223,0.0008235987,0.0003777984,0.00009605957,0.00011716,0.00006027589],"category_scores_gemma":[0.01085256,0.0001437061,0.00002979794,0.0007567634,0.0002391381,0.001742507,0.0001205754,0.0003631838,0.000008521974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006489787,"about_ca_system_score_gemma":0.0005218774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003334978,"about_ca_topic_score_gemma":0.01453178,"domain_scores_codex":[0.9980453,0.0004950525,0.0006013227,0.0003057343,0.0002343368,0.0003182551],"domain_scores_gemma":[0.9955444,0.003462574,0.0005056541,0.0001191014,0.0002307547,0.0001374576],"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":[0.0001632096,0.0001972238,0.3770745,0.0001817841,0.0001152788,0.0001068983,0.5898331,0.00009481429,0.00006832809,0.000649263,0.00784809,0.02366756],"study_design_scores_gemma":[0.004375972,0.0005308704,0.11571,0.001383836,0.0001164224,0.0002317087,0.4283564,0.0044897,0.00008736349,0.0086449,0.4349605,0.001112343],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653518,0.01172925,0.00001249604,0.00313596,0.0007674429,0.0004439308,0.00001468715,0.0000773433,0.01846712],"genre_scores_gemma":[0.9866969,0.01137056,0.0001271029,0.00002990267,0.00023826,0.00001890433,0.000007886222,0.00001516112,0.001495305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4271125,"threshold_uncertainty_score":0.9974794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1832770429150358,"score_gpt":0.4202696450986341,"score_spread":0.2369926021835983,"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."}}