{"id":"W4411049168","doi":"10.58693/ier.315","title":"Exploring Food Insecurity Through Mathematics for Social Justice Lens","year":2025,"lang":"en","type":"article","venue":"International Educational Review","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Food insecurity; Social justice; Lens (geology); Economic Justice; Sociology; Through-the-lens metering; Food security; Political science; Social science; Geography; Optics; Physics; Law; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004814013,0.0007330194,0.0005219312,0.004455392,0.00191965,0.006328703,0.001001247,0.001589124,0.00525552],"category_scores_gemma":[0.008288239,0.0001883661,0.0007019242,0.002978381,0.007623183,0.006516412,0.004778262,0.003197244,0.0004346535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002656198,"about_ca_system_score_gemma":0.005041983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663648,"about_ca_topic_score_gemma":0.005129656,"domain_scores_codex":[0.9961147,0.003105062,0.0001222631,0.0001670677,0.0003377321,0.0001531291],"domain_scores_gemma":[0.992371,0.006239194,0.0005747136,0.0002018918,0.0003485963,0.0002646128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004692373,0.0002498249,0.00545063,0.004594033,0.0001001756,0.0005283999,0.07908128,0.001136266,0.0008761238,0.6576258,0.01060806,0.2397025],"study_design_scores_gemma":[0.00002165055,0.0001309193,0.009812789,0.008496191,0.00009628449,0.0008715024,0.1008977,0.001164945,0.0009234055,0.4286115,0.4489349,0.00003821475],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1503372,0.2754605,0.1448348,0.1467564,0.002522831,0.0004729516,0.0003624901,0.0002862262,0.2789666],"genre_scores_gemma":[0.7897158,0.1406529,0.05248154,0.005899757,0.0007624724,0.000594146,0.0001773723,0.00007682986,0.009639253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006328703,"threshold_uncertainty_score":0.02545923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7453794048974465,"score_gpt":0.571274603106004,"score_spread":0.1741048017914425,"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."}}