{"id":"W2014862353","doi":"10.1080/13691180802155363","title":"STRUCTURING HIERARCHICAL DEFERENCE AND SOLIDARITY IN THE CONTEXT OF CHANGING COMMUNICATIONS MEDIA","year":2008,"lang":"en","type":"article","venue":"Information Communication & Society","topic":"Digital Communication and Language","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Structuring; Solidarity; Dialectic; Deference; Context (archaeology); Autonomy; Power (physics); Sociology; Dependency (UML); Political science; Epistemology; Computer science; Geography; Law; Politics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.008508386,0.0003864563,0.0003475608,0.004014299,0.009993972,0.01025765,0.001579526,0.001219154,0.003236819],"category_scores_gemma":[0.02657032,0.0004478052,0.0002421513,0.002024227,0.02315423,0.007546037,0.01055663,0.002209745,0.0002213526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006377869,"about_ca_system_score_gemma":0.005674829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125676,"about_ca_topic_score_gemma":0.0149425,"domain_scores_codex":[0.9889497,0.006653209,0.0002817927,0.0009036256,0.00186578,0.001345959],"domain_scores_gemma":[0.9810179,0.01023951,0.003351146,0.001336095,0.001872808,0.00218252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002251132,0.00009417714,0.01649768,0.0001113356,0.00002508569,0.001079326,0.7746063,0.0008661348,0.004192828,0.1732263,0.0005870543,0.02848859],"study_design_scores_gemma":[0.00011457,0.0004355519,0.06105848,0.0003117216,0.00007147745,0.0007025424,0.6524354,0.004687705,0.003529667,0.1873441,0.08912186,0.0001869751],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405082,0.0002848264,0.007454683,0.00179501,0.00004355977,0.00004169357,0.00002041417,0.00004401456,0.04980753],"genre_scores_gemma":[0.998603,0.00002941141,0.0005292702,0.00004721369,0.000009783774,0.000009288738,0.000006375021,0.000009262358,0.0007563236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125676,"threshold_uncertainty_score":0.04627496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03623884806653876,"score_gpt":0.2615849422264319,"score_spread":0.2253460941598932,"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."}}