{"id":"W2791342112","doi":"10.1080/13504622.2018.1446512","title":"Know*ledge constellations and re*constellating: narratives to inform Indigenous-and-environmental education","year":2018,"lang":"en","type":"article","venue":"Environmental Education Research","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Environmental education; Indigenous; Narrative; Constellation; Environmental ethics; Sociology; Environmental protection; Pedagogy; Political science; Environmental resource management; Geography; Environmental science; Ecology; Philosophy","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001482588,0.0001835572,0.0001610137,0.0004556697,0.01173206,0.0001973017,0.0002269638,0.0001752174,0.001975293],"category_scores_gemma":[0.0000269794,0.0001848227,0.00003087926,0.000418976,0.002246134,0.0004524775,0.0000224574,0.0003155559,0.0006140725],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009205805,"about_ca_system_score_gemma":0.009786521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006925995,"about_ca_topic_score_gemma":0.02188621,"domain_scores_codex":[0.9972662,0.0005075181,0.0003689316,0.0004939846,0.0007005509,0.0006628496],"domain_scores_gemma":[0.998621,0.0002446245,0.0001118891,0.0003087996,0.00006420727,0.0006494276],"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":[0.00001845179,0.0006475276,0.02923471,0.00002249143,0.00001505636,1.543967e-7,0.9210623,5.615699e-7,0.0002291515,0.01299871,0.001202163,0.03456875],"study_design_scores_gemma":[0.00009300299,0.0001577739,0.01999701,0.00003243025,0.000005266145,0.00000522684,0.2865985,0.000003156462,0.0002566535,0.0009185419,0.691749,0.0001834849],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8167865,0.000853799,0.00001246528,0.001495282,0.0006336371,0.001558495,0.00001677807,0.00002702493,0.178616],"genre_scores_gemma":[0.9568202,0.003736034,0.000940119,0.0002086225,0.001006484,0.0000455269,0.0001019955,0.00002436486,0.0371166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6905468,"threshold_uncertainty_score":0.999687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03244331129689157,"score_gpt":0.3909708586503215,"score_spread":0.35852754735343,"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."}}