{"id":"W2914893454","doi":"10.1108/edi-11-2017-0247","title":"Walls all around: barriers women professionals face in high-tech careers in Bangladesh","year":2019,"lang":"en","type":"article","venue":"Equality Diversity and Inclusion An International Journal","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Originality; Snowball sampling; Situated; Context (archaeology); General partnership; Public relations; Thematic analysis; Face (sociological concept); Value (mathematics); Intervention (counseling); Sociology; Psychology; Political science; Qualitative research; Geography; Medicine; Social science","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":[0.002146814,0.0003692209,0.000492439,0.0007080879,0.01013282,0.004536566,0.0008503756,0.001540716,0.0104272],"category_scores_gemma":[0.005475549,0.000426479,0.0001755103,0.001067991,0.004481255,0.002172882,0.005048445,0.001417854,0.001064786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003791371,"about_ca_system_score_gemma":0.006548649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03819156,"about_ca_topic_score_gemma":0.06346679,"domain_scores_codex":[0.9970922,0.001301814,0.0001471767,0.0002106146,0.0003805021,0.0008676458],"domain_scores_gemma":[0.9961672,0.001468817,0.0006020931,0.0001055589,0.0003548048,0.001301447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001009555,0.00008367895,0.08646747,0.0004745594,0.00001404329,0.002859512,0.8681244,0.00006250253,0.001346894,0.00389813,0.005150449,0.0314174],"study_design_scores_gemma":[0.000003386462,0.00004681871,0.01385843,0.0002410935,0.000004447016,0.0003392643,0.9732284,0.0000179755,0.00006819648,0.0004062029,0.01177391,0.00001194484],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734105,0.001409408,0.0003255953,0.006898394,0.00009078012,0.0000451618,0.00009713016,0.0000100697,0.01771282],"genre_scores_gemma":[0.9938375,0.001053052,0.0001698318,0.0008201039,0.00001097045,0.0000361237,0.00002447919,0.000008088641,0.004039764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03819156,"threshold_uncertainty_score":0.07593852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779111405351964,"score_gpt":0.3319891887672791,"score_spread":0.2741980747137595,"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."}}