{"id":"W4398776666","doi":"10.33621/jdsr.v6i2.211","title":"Dwelling as method: Lingering in/with feminist curated data sets on Instagram","year":2024,"lang":"en","type":"article","venue":"Journal of Digital Social Research","topic":"Architecture and Computational Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.04232905,0.0009692934,0.0007495946,0.006610757,0.006893694,0.01195197,0.002796727,0.001812445,0.009525257],"category_scores_gemma":[0.0921544,0.0009662197,0.001037547,0.006429266,0.0175454,0.01222019,0.01260635,0.0028748,0.00228285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004099522,"about_ca_system_score_gemma":0.003855259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003775044,"about_ca_topic_score_gemma":0.01287924,"domain_scores_codex":[0.9614933,0.02982012,0.001026664,0.003621901,0.003159468,0.000878593],"domain_scores_gemma":[0.818222,0.1472873,0.004362254,0.02490903,0.004148445,0.001071008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001944653,0.00007608714,0.009167321,0.001001996,0.00007583881,0.0006750707,0.6932653,0.0006445628,0.01080105,0.1298586,0.007208384,0.1470314],"study_design_scores_gemma":[0.00004917303,0.0001377693,0.007101888,0.001342258,0.00008796608,0.0008831925,0.3373415,0.006201393,0.0196234,0.1445595,0.4824881,0.000183767],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1403926,0.00089325,0.80115,0.006747697,0.0004177083,0.001594299,0.003075457,0.001998052,0.04373094],"genre_scores_gemma":[0.3887382,0.0004669134,0.5882533,0.001589238,0.0001565279,0.003802789,0.001709917,0.003479911,0.01180317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9931063,"threshold_uncertainty_score":0.22386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1465904440458874,"score_gpt":0.444223354917962,"score_spread":0.2976329108720746,"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."}}