{"id":"W4241090652","doi":"10.32920/ryerson.14647794","title":"Understanding How Parenting & Family Literacy Centres Help Families Experiencing Poverty & Immigration","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Parental Involvement in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seneca Polytechnic; Toronto Metropolitan University; Education and Early Childhood Development","funders":"","keywords":"Poverty; Immigration; Thematic analysis; Focus group; Sociology; Ecological systems theory; Literacy; Gender studies; Developmental psychology; Psychology; Economic growth; Political science; Qualitative research; Social science; Pedagogy; Economics","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":[0.003113509,0.0002185924,0.0002030743,0.0005775666,0.003688007,0.00340496,0.0006304167,0.001214957,0.002908348],"category_scores_gemma":[0.007498523,0.0002519433,0.0002169481,0.0004692017,0.003071151,0.004215456,0.002973606,0.001801794,0.0001675001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880277,"about_ca_system_score_gemma":0.003616826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009557584,"about_ca_topic_score_gemma":0.01572899,"domain_scores_codex":[0.9981425,0.001312497,0.00004366682,0.00007666287,0.0001063149,0.0003184748],"domain_scores_gemma":[0.9976769,0.001426064,0.0002807741,0.0000491571,0.000129278,0.0004378105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002439982,0.0001901102,0.03541865,0.0001876611,0.00001427652,0.001782117,0.8942143,0.0001422626,0.0003168381,0.008111786,0.003066454,0.05653115],"study_design_scores_gemma":[0.000008750103,0.00007572074,0.02147602,0.0005469187,0.00001852459,0.0006522492,0.948406,0.0001876186,0.0001555729,0.003493732,0.02496361,0.00001526444],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418209,0.002561117,0.001219655,0.02073464,0.0001221634,0.00003863441,0.0000323846,0.00001646836,0.03345396],"genre_scores_gemma":[0.9952608,0.002055555,0.0007408442,0.0006641617,0.00001711005,0.0000250285,0.00001314881,0.000003897011,0.001219564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009557584,"threshold_uncertainty_score":0.01900387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1888257592676209,"score_gpt":0.3695246135748596,"score_spread":0.1806988543072387,"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."}}