{"id":"W7117490010","doi":"10.1386/public_00282_5","title":"Tender Labour by Jennifer E. Shaw","year":2025,"lang":"en","type":"article","venue":"Public","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Kinship; Ethnography; Framing (construction); Domestic work; Family reunification","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":[0.001685913,0.0003836056,0.0002468068,0.0008107589,0.006522054,0.003084114,0.0006714707,0.001538798,0.004623346],"category_scores_gemma":[0.004448211,0.0002595759,0.0001448625,0.0007667906,0.006855046,0.003543457,0.002695317,0.005328168,0.001188701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004333802,"about_ca_system_score_gemma":0.007442865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.111819,"about_ca_topic_score_gemma":0.1639576,"domain_scores_codex":[0.9987822,0.000536652,0.00003556736,0.0001717957,0.0003182962,0.0001554353],"domain_scores_gemma":[0.9981095,0.0006365396,0.00009983044,0.00003980141,0.0004615587,0.0006527881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002021039,0.00001853574,0.001226837,0.00008538432,0.000004172751,0.0003554648,0.02028229,0.00006848945,0.00019772,0.03212203,0.9134319,0.03218681],"study_design_scores_gemma":[0.000002246074,0.00001118148,0.001407718,0.0002805722,0.000002487786,0.0003228039,0.0236649,0.00005007394,0.00007932832,0.005774578,0.9683871,0.00001706558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0156083,0.07690548,0.001749309,0.7925016,0.02260616,0.00002982846,0.0001022258,0.00008437437,0.09041271],"genre_scores_gemma":[0.2470405,0.08471281,0.003207443,0.2741787,0.008016521,0.0001375596,0.0001021738,0.0002210771,0.3823832],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.111819,"threshold_uncertainty_score":0.2223362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514903841199455,"score_gpt":0.3017866488130364,"score_spread":0.2866376104010418,"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."}}