{"id":"W7083305021","doi":"10.1515/applirev-2025-0217","title":"Platformization, social media, and investing in unequal digital literacy practices","year":2025,"lang":"en","type":"article","venue":"Applied Linguistics Review","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Negotiation; Semiotics; Social media; Inequality; Digital media; Literacy; Representation (politics); Digital literacy; Social innovation; Immigration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001700745,0.0002215315,0.0002756747,0.001819357,0.001232687,0.004775469,0.0004626949,0.0009298052,0.001896138],"category_scores_gemma":[0.001639728,0.0001140739,0.0001845141,0.001441663,0.01130784,0.00417512,0.00349835,0.0007736135,0.0001424008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002625196,"about_ca_system_score_gemma":0.001623023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007475117,"about_ca_topic_score_gemma":0.01146603,"domain_scores_codex":[0.9988952,0.0004924344,0.00004095502,0.0001403169,0.0002476948,0.0001834247],"domain_scores_gemma":[0.9989849,0.0006138333,0.0001633256,0.0000533919,0.00009567844,0.00008901268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000827961,0.00008910596,0.01645603,0.001654465,0.00007783924,0.001520624,0.08712123,0.0005918212,0.006049658,0.3772187,0.001992798,0.5071449],"study_design_scores_gemma":[0.00002535671,0.0002332689,0.08006483,0.005544593,0.0001088772,0.002530127,0.1779234,0.0008058034,0.006916265,0.1559654,0.5697752,0.0001068739],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6276287,0.1718096,0.006028517,0.01450978,0.0002420364,0.00004379122,0.00004613987,0.00004409606,0.1796474],"genre_scores_gemma":[0.9444999,0.0488732,0.001099617,0.0004095623,0.00007014456,0.00002107403,0.00001286116,0.00000989068,0.005003692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007475117,"threshold_uncertainty_score":0.0190472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079009532273703,"score_gpt":0.3118548641539568,"score_spread":0.2910647688312198,"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."}}