{"id":"W3174230225","doi":"10.1080/09650792.2021.1925569","title":"Creative action research","year":2021,"lang":"en","type":"article","venue":"Educational Action Research","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Action research; Participatory action research; Leverage (statistics); Action (physics); Citizen journalism; Key (lock); Sociology; Engineering ethics; Management science; Computer science; Engineering; Pedagogy; Artificial intelligence","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":[0.08244157,0.001414118,0.001203988,0.004733823,0.007002479,0.01337495,0.004549598,0.003469556,0.03404],"category_scores_gemma":[0.08089907,0.0008020484,0.001775659,0.003819671,0.01573713,0.008104459,0.01415311,0.004687336,0.0062272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005438961,"about_ca_system_score_gemma":0.0174628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285966,"about_ca_topic_score_gemma":0.002390622,"domain_scores_codex":[0.9105206,0.0668418,0.003321938,0.008073549,0.008996817,0.002245222],"domain_scores_gemma":[0.9013994,0.06416368,0.003671284,0.01785893,0.008917187,0.00398942],"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":[0.0001802644,0.0004556235,0.002308239,0.003190074,0.0001064215,0.0002682192,0.06707509,0.001293207,0.00173814,0.6725866,0.02554169,0.2252564],"study_design_scores_gemma":[0.0002078528,0.0003609559,0.00111716,0.00358079,0.00005994319,0.0004870148,0.03261956,0.00190853,0.00255625,0.2973352,0.659696,0.00007064557],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0217439,0.004110756,0.502911,0.014387,0.002311204,0.01298898,0.001007825,0.0008536829,0.4396856],"genre_scores_gemma":[0.3380369,0.004578184,0.5472966,0.00620948,0.000582139,0.02737883,0.001103077,0.0006120697,0.07420263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08244157,"threshold_uncertainty_score":0.4359979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9751725115528174,"score_gpt":0.8509191370453562,"score_spread":0.1242533745074612,"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."}}