{"id":"W3126816724","doi":"10.1080/19415257.2021.1886155","title":"What does making produce? Posthuman insights into documenting relationalities in maker education for teachers","year":2021,"lang":"en","type":"article","venue":"Professional Development in Education","topic":"Innovative Education and Learning Practices","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"Mount Saint Vincent University","keywords":"Posthuman; Professional development; Pedagogy; Sociology; Faculty development; Mathematics education; Engineering ethics; Psychology; Epistemology; Philosophy; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006303054,0.0003962865,0.0002547649,0.001108497,0.00509978,0.008074253,0.000574601,0.003169501,0.003555116],"category_scores_gemma":[0.009876739,0.0003148714,0.0002040408,0.001012129,0.03586777,0.01640492,0.003201377,0.003126102,0.0005882499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003129133,"about_ca_system_score_gemma":0.003127346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004538501,"about_ca_topic_score_gemma":0.009115915,"domain_scores_codex":[0.9979005,0.001463134,0.00005671729,0.0001517521,0.0003016995,0.0001261941],"domain_scores_gemma":[0.9934104,0.005288037,0.0003946235,0.0003359096,0.0003797374,0.0001912789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004438424,0.00002118604,0.0009006805,0.0001454303,0.000004829887,0.0003059549,0.3882056,0.0001392469,0.0005323795,0.5472481,0.01919049,0.04326157],"study_design_scores_gemma":[0.00001623016,0.00004714567,0.00265572,0.0005870629,0.00001215384,0.0006100344,0.1549916,0.0001619411,0.00122241,0.4464042,0.3932675,0.00002399717],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09557664,0.05211291,0.03611063,0.3647057,0.002424315,0.0001366785,0.0002863688,0.0002009606,0.4484458],"genre_scores_gemma":[0.9323069,0.01404019,0.01037749,0.008146682,0.0005874131,0.0001221289,0.00008266509,0.0001835202,0.03415303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008074253,"threshold_uncertainty_score":0.03333414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05011959604934878,"score_gpt":0.4427496185869253,"score_spread":0.3926300225375765,"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."}}