{"id":"W4403433115","doi":"10.1002/pra2.1182","title":"Putting People First: Unpacking the Relationship Between Social Media Influencers and Feminism","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Unpacking; Influencer marketing; Feminism; Social media; Sociology; Gender studies; Computer science; World Wide Web; Business; Linguistics; Marketing","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":[0.004104028,0.00006817902,0.0001085961,0.0003393182,0.002124564,0.0003449245,0.0003783648,0.0001786726,8.349347e-7],"category_scores_gemma":[0.01320553,0.00004796144,0.00003067104,0.002121469,0.0006940482,0.001738975,0.0001270584,0.0001843107,0.000002339285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048337,"about_ca_system_score_gemma":0.0002664031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002261596,"about_ca_topic_score_gemma":0.0000444277,"domain_scores_codex":[0.9987097,0.000005925986,0.0002743746,0.0001208764,0.000625057,0.0002640335],"domain_scores_gemma":[0.997864,0.001039959,0.0003486113,0.00004092494,0.0006690319,0.00003743578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[8.444998e-7,0.000001420854,0.3809145,0.00004685085,0.0000071212,3.580531e-9,0.1593034,1.678115e-7,0.00004439145,0.447952,0.0006317421,0.01109756],"study_design_scores_gemma":[0.0003063436,0.00002668296,0.5611755,0.00009129433,0.00008110233,0.000001852124,0.2016086,0.0001408541,0.001027111,0.1688606,0.06650604,0.0001739927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515244,0.00006906633,0.0000263303,0.03779102,0.0003905861,0.0004332156,0.00001467749,0.0001367638,0.009613964],"genre_scores_gemma":[0.9995379,0.00003962257,0.0001273138,0.00007967167,0.0001023997,0.00003585427,0.000001220498,0.000003011361,0.00007301998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2790914,"threshold_uncertainty_score":0.9991745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151242782633211,"score_gpt":0.3000042450748907,"score_spread":0.2684918172485585,"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."}}