{"id":"W3210086506","doi":"","title":"Conflicting Accounts of Inclusiveness in Accounting Firm Recruitment Website Photographs","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender Studies in Language","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Diversity (politics); Inclusion (mineral); White (mutation); Salient; Hegemony; Ethnic group; Population; Gender diversity; Quarter (Canadian coin); Semiotics; Sociology; Accounting; Gender studies; Political science; Geography; Corporate governance; Linguistics; Law; Business; Demography; Management; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003172064,0.0001351413,0.0002721865,0.0001219811,0.000505819,0.00004967738,0.0005024812,0.00008397213,0.00007504335],"category_scores_gemma":[0.0004863499,0.0001357111,0.0001103598,0.0006995862,0.000130535,0.0002373951,0.0001746338,0.001158493,0.000008812909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009188495,"about_ca_system_score_gemma":0.00157535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001818073,"about_ca_topic_score_gemma":0.01125679,"domain_scores_codex":[0.9968362,0.0002114155,0.0004110273,0.000214428,0.0005458451,0.001781012],"domain_scores_gemma":[0.9992282,0.000116414,0.0003353024,0.00009953063,0.0001354754,0.00008506918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002106088,0.0002102413,0.4228513,0.00008057419,0.0005784007,0.00005124574,0.4585323,0.0002317645,0.004229877,0.05954427,0.0001120863,0.05336737],"study_design_scores_gemma":[0.003162573,0.0004607611,0.0129416,0.0002236828,0.0001078368,0.00005226761,0.9073582,0.0001895557,0.0009467894,0.03630361,0.03744796,0.0008051054],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775532,0.00462169,0.0004798111,0.001931827,0.0003162955,0.0004438983,0.00000319834,0.0000368374,0.01461328],"genre_scores_gemma":[0.9962621,0.002921478,0.0001091813,0.0003238417,0.000279481,0.00001293082,8.419107e-7,0.00001598072,0.00007411031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.448826,"threshold_uncertainty_score":0.6281554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04092081387638236,"score_gpt":0.3591667695487433,"score_spread":0.318245955672361,"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."}}