{"id":"W7133406075","doi":"","title":"Meaning of « spaces » in the makers' response to the COVID-19 pandemic","year":2022,"lang":"fr","type":"article","venue":"ORBi UMONS","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Meaning (existential); Pandemic; Perspective (graphical); Proposition; Identity (music)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.007603968,0.0001569417,0.0002086295,0.0002586086,0.00133349,0.00005938982,0.001183343,0.0001416431,0.0006353222],"category_scores_gemma":[0.00903296,0.0001267159,0.000108459,0.002024583,0.001018358,0.00009234066,0.0003945327,0.0006344335,0.00005899532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518357,"about_ca_system_score_gemma":0.00152909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05715,"about_ca_topic_score_gemma":0.1511016,"domain_scores_codex":[0.9946946,0.003353162,0.0003651424,0.0003505224,0.0006670121,0.0005695554],"domain_scores_gemma":[0.9950149,0.004000407,0.0002007621,0.0006002825,0.00004502576,0.0001385992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003644787,0.0002206454,0.09199882,0.00004616032,0.00004089598,0.0000680409,0.4158541,0.005437993,0.0006061263,0.3745724,0.1074059,0.003384431],"study_design_scores_gemma":[0.0002168966,0.0001622564,0.003500511,0.00001070867,0.0000325063,0.00001798989,0.1590536,0.0001668359,0.00001371314,0.01439098,0.8223044,0.0001296448],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4965599,0.0009851388,0.0001755109,0.4991213,0.0005918401,0.0006301882,0.0001059469,0.00006848327,0.001761707],"genre_scores_gemma":[0.9742496,0.0002029104,0.00007930239,0.01716342,0.0001331503,0.0001625867,0.000004323722,0.00001427832,0.007990426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7148985,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07895881949960842,"score_gpt":0.3683511264944482,"score_spread":0.2893923069948398,"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."}}