{"id":"W1583122701","doi":"","title":"PLANTING THE SCIENCE SEED: ENGAGING STUDENTS IN PLACE-BASED CIVIC ACTIONS","year":2014,"lang":"en","type":"article","venue":"European Scientific Journal ESJ","topic":"Indigenous and Place-Based Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon Department of Education; Mount Royal University","funders":"","keywords":"Coursework; Experiential learning; Science education; Experiential education; Civic engagement; Pedagogy; Science learning; Field (mathematics); Sociology; Nature of Science; Mathematics education; Engineering ethics; Political science; Psychology; Engineering","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03722084,0.0001111842,0.00009908852,0.0005020111,0.01075687,0.003003137,0.001373366,0.0000225988,0.0001199816],"category_scores_gemma":[0.00108355,0.00008477298,0.00006074032,0.001634972,0.0008896563,0.0005240125,0.00006762679,0.0006247821,0.0002822102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004913533,"about_ca_system_score_gemma":0.002057813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000388101,"about_ca_topic_score_gemma":0.001454941,"domain_scores_codex":[0.995604,0.001640614,0.0003277783,0.0003267012,0.001381765,0.000719123],"domain_scores_gemma":[0.9986069,0.0003946048,0.0002459968,0.0002866577,0.0002431593,0.0002226951],"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":[0.00003374103,0.0004244873,0.127711,0.00001717984,0.00001492296,0.00003978779,0.8294878,0.008805472,0.005989571,0.001470439,0.006037445,0.01996816],"study_design_scores_gemma":[0.001457186,0.0001035164,0.1292644,0.0005032506,0.00004458495,0.00006502157,0.2250425,0.004239003,0.001074113,0.0006891372,0.636744,0.0007733104],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423993,0.00003657,0.0005633499,0.001634295,0.00397522,0.0001613513,0.000001789572,0.00003713895,0.05119104],"genre_scores_gemma":[0.9959884,0.000008138646,0.0001818207,0.0002354063,0.0006611953,0.000001415312,0.000002167718,0.00001328079,0.002908136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6307065,"threshold_uncertainty_score":0.9980319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788963627947978,"score_gpt":0.330597402106562,"score_spread":0.2927077658270822,"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."}}