{"id":"W3203618922","doi":"10.29173/iasl8272","title":"Turning Advocacy into Action: Inclusive Makerspaces","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Cognitive disabilities; Special needs; Special education; Special populations; Action (physics); Population; Inclusion (mineral); Pedagogy; Psychology; Cognition; Public relations; Sociology; Political science; Medical education; Medicine; Computer science; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0430283,0.001375233,0.0008106252,0.004086346,0.02116331,0.0444099,0.004396094,0.01411988,0.03507858],"category_scores_gemma":[0.07030401,0.001054856,0.001287123,0.002484981,0.02966442,0.04006251,0.04438075,0.01562137,0.006031801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005982182,"about_ca_system_score_gemma":0.01564308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473584,"about_ca_topic_score_gemma":0.002868049,"domain_scores_codex":[0.9669612,0.02223006,0.0008460766,0.001975772,0.005137664,0.00284925],"domain_scores_gemma":[0.9341344,0.04526246,0.002492093,0.004831647,0.00360113,0.00967835],"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":[0.00007771079,0.0002726866,0.001707113,0.0003362531,0.00004675857,0.0007656683,0.0761979,0.0006446043,0.0005160893,0.6420194,0.1452654,0.1321504],"study_design_scores_gemma":[0.000039029,0.00003636894,0.0002823108,0.0004902732,0.00001964132,0.0001224235,0.0305109,0.0004355077,0.0003589258,0.3736266,0.5940434,0.00003456617],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01839082,0.00611478,0.06379566,0.356564,0.01115177,0.0004227579,0.0001514154,0.001301072,0.5421078],"genre_scores_gemma":[0.7165357,0.005185216,0.05720127,0.08765175,0.005341156,0.001311315,0.0003292884,0.001283477,0.1251608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0444099,"threshold_uncertainty_score":0.2275581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657864622223422,"score_gpt":0.3409932141622791,"score_spread":0.3044145679400448,"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."}}