{"id":"W2905604208","doi":"","title":"Do Languages Represent?: A Pilot Study on Linguistic Diversity and Library Staff","year":2018,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Diversity (politics); Race (biology); Linguistics; Representation (politics); Population; Computer science; Linguistic diversity; Service (business); World Wide Web; Library science; Sociology; Psychology; Political science; Business; Gender studies","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001664995,0.00009955325,0.0001068336,0.0001885708,0.001926312,0.000139303,0.0004217181,0.0000402511,0.000319794],"category_scores_gemma":[0.0001061119,0.0001032025,0.0000244929,0.0006469222,0.0004397148,0.001089207,0.0004772554,0.0001015374,0.00005750905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002783185,"about_ca_system_score_gemma":0.0001064372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239927,"about_ca_topic_score_gemma":0.01644714,"domain_scores_codex":[0.9988187,0.0001984771,0.00007187369,0.0003638871,0.0003165891,0.0002304996],"domain_scores_gemma":[0.9993899,0.0001069229,0.00005526466,0.0002169353,0.000040987,0.0001900016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001175523,0.0003238357,0.9807352,0.00000239768,0.00001317126,0.0001511789,0.003900062,4.281699e-7,0.000001864492,0.009776522,0.004636989,0.0003407497],"study_design_scores_gemma":[0.001100444,0.004923708,0.1236208,0.00003492106,0.00005791923,4.677726e-9,0.6719158,0.00001308506,0.0003025698,0.001463062,0.1961583,0.000409402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8460618,0.00001098637,0.000007685847,0.0004093807,0.0001535191,0.0002045644,0.00001098452,0.0001214671,0.1530196],"genre_scores_gemma":[0.9879541,0.00002659814,0.00003594718,0.0001321895,0.0002914772,1.787935e-7,0.000004075695,0.000005266701,0.01155013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8571144,"threshold_uncertainty_score":0.999373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917493090941303,"score_gpt":0.2769426587907923,"score_spread":0.2377677278813792,"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."}}