{"id":"W4402508238","doi":"10.1080/03098265.2024.2403082","title":"Deep mapping in geography education: learning about a distant place and people in a summer school as a ‘committed outlier’","year":2024,"lang":"en","type":"article","venue":"Journal of Geography in Higher Education","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outlier; Geography; Place-based education; Physical geography; Mathematics education; Environmental education; Pedagogy; Sociology; Psychology; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001656307,0.0002097796,0.0003332553,0.004315025,0.0001867725,0.0003896891,0.0002674279,0.0001832405,0.0006075427],"category_scores_gemma":[0.0001975401,0.0002171117,0.0001987934,0.003656241,0.0001554218,0.0007043401,0.00002455423,0.0008943885,0.0000128556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002087657,"about_ca_system_score_gemma":0.002063819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01517761,"about_ca_topic_score_gemma":0.007078155,"domain_scores_codex":[0.9973944,0.0005580148,0.0008237513,0.0003337016,0.0004616785,0.0004284924],"domain_scores_gemma":[0.9986882,0.0003032509,0.0003073334,0.000155954,0.0002549896,0.0002902479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002741321,0.0005534196,0.9603584,0.00007516093,0.00002799862,0.00000467776,0.025318,0.00005585264,0.00001240013,0.003070502,0.0003644342,0.01013177],"study_design_scores_gemma":[0.0002895717,0.00004751032,0.8265756,0.0006145692,0.00002021821,0.00001132892,0.03976688,0.00001891157,7.630921e-7,0.003643416,0.1288168,0.0001945192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947971,0.02813428,0.00001326416,0.01238669,0.003433345,0.0003743041,8.319284e-7,0.00002959477,0.007656659],"genre_scores_gemma":[0.9950371,0.002767221,0.0003872511,0.000406429,0.0005764198,0.00008853467,0.000009722056,0.00002001787,0.0007072945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1337828,"threshold_uncertainty_score":0.9913804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993821017507853,"score_gpt":0.3373771815034914,"score_spread":0.3174389713284129,"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."}}