{"id":"W4402841408","doi":"10.1080/15205436.2024.2389692","title":"Algorithms of Resistance: The Everyday Fight Against Platform Power","year":2024,"lang":"en","type":"article","venue":"Mass Communication & Society","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Resistance (ecology); Power (physics); Computer science; Computer security; Forensic engineering; Marine engineering; Engineering; Biology; Ecology; Physics","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":[0.002619348,0.0009167009,0.0003385063,0.001339712,0.003871067,0.009682403,0.00121166,0.004131315,0.00659489],"category_scores_gemma":[0.01036501,0.0003711191,0.0005313554,0.0007853635,0.02520419,0.01263696,0.005464673,0.004353062,0.001780089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759467,"about_ca_system_score_gemma":0.0009898145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279659,"about_ca_topic_score_gemma":0.001280458,"domain_scores_codex":[0.9961176,0.002600951,0.00007034797,0.0004061208,0.0005278569,0.0002772767],"domain_scores_gemma":[0.9955773,0.002754106,0.0003295941,0.0006268511,0.0003446118,0.0003675207],"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":[0.00005721939,0.00003016211,0.001029497,0.00007947991,0.00002196645,0.0001682477,0.02942318,0.0006255652,0.0008025709,0.9227609,0.02352784,0.02147343],"study_design_scores_gemma":[0.00004512501,0.00008019806,0.001397391,0.000209684,0.00001941776,0.000620044,0.01897253,0.003891973,0.001146189,0.5841121,0.3894211,0.00008414967],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09310195,0.007969748,0.1102109,0.1127238,0.003302013,0.0001193926,0.0001592319,0.0006222846,0.6717907],"genre_scores_gemma":[0.9066311,0.00200481,0.02661122,0.006793885,0.0007377606,0.000133412,0.00009569166,0.0004128189,0.05657928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009682403,"threshold_uncertainty_score":0.02206212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023304992552898,"score_gpt":0.2747344626002204,"score_spread":0.2545014126746915,"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."}}