{"id":"W7020350008","doi":"","title":"Learning from the Land: The Application of Archaeology and Land-Based Learning as an Experiential Learning Tool for Building Intercultural Competency","year":2023,"lang":"en","type":"article","venue":"DigitalCommons (California Polytechnic State University)","topic":"Indigenous Cultures and Socio-Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Experiential learning; Indigenous; Cognitive reframing; Indigenous education; Curriculum; Value (mathematics); Cultural learning; Traditional knowledge; Inclusion (mineral); Teaching method","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002643552,0.0003305373,0.000137008,0.0009297561,0.00160065,0.004006994,0.001186734,0.0007936686,0.003730504],"category_scores_gemma":[0.003036446,0.0001681683,0.0002218164,0.000616496,0.004611855,0.002677219,0.005080791,0.001005941,0.0004176752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122709,"about_ca_system_score_gemma":0.0018247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210054,"about_ca_topic_score_gemma":0.004994215,"domain_scores_codex":[0.9986312,0.0009612587,0.00003478655,0.0000813197,0.0001962639,0.00009509612],"domain_scores_gemma":[0.9980859,0.001393794,0.0000814098,0.0002191298,0.00006523763,0.000154696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004933089,0.001044482,0.007495311,0.000633931,0.00001435974,0.001104058,0.1644935,0.0007872642,0.008003577,0.0342559,0.003098471,0.7790198],"study_design_scores_gemma":[0.00008464013,0.001747918,0.03866527,0.002769207,0.00009694761,0.007695827,0.3796239,0.007082349,0.02470834,0.08356972,0.4538149,0.0001410219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.682884,0.002536671,0.07138405,0.005223778,0.0001657944,0.0005489877,0.00004617126,0.0003429611,0.2368676],"genre_scores_gemma":[0.8981314,0.002416909,0.08649246,0.0004972629,0.00004653453,0.0002332481,0.00002564394,0.00004436441,0.01211216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004006994,"threshold_uncertainty_score":0.01398063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402664373620904,"score_gpt":0.26371668910186,"score_spread":0.2496900453656509,"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."}}