{"id":"W4401701378","doi":"10.1057/s41254-024-00354-5","title":"Non-metropolitan labour attractiveness: when place branding meets employer branding","year":2024,"lang":"en","type":"article","venue":"Place Branding and Public Diplomacy","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Public diplomacy; Attractiveness; Place branding; Metropolitan area; Employer branding; Nation branding; Brand strategy; Diplomacy; Political science; Economic geography; Advertising; Business; Public relations; Marketing; Economics; Politics; Geography; Aesthetics; Brand management; Tourism; Law; Art","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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001925929,0.000841924,0.0008733509,0.001819788,0.001406924,0.006077748,0.0006371384,0.0003145304,0.0007074661],"category_scores_gemma":[0.0005465364,0.0007734043,0.0003327371,0.001654067,0.000231914,0.005995389,0.0004446702,0.0007953855,0.0005958853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578357,"about_ca_system_score_gemma":0.0001256876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473257,"about_ca_topic_score_gemma":0.0001727904,"domain_scores_codex":[0.9954122,0.00007384519,0.0007800329,0.001353175,0.0008248908,0.001555879],"domain_scores_gemma":[0.9979599,0.0008510407,0.0002708993,0.0005347771,0.0001755155,0.0002079293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001351221,0.0006903895,0.3289565,0.007303109,0.001835388,0.0004682038,0.003477267,0.0001280676,0.00554118,0.5501568,0.08083919,0.01925276],"study_design_scores_gemma":[0.009324499,0.0001434514,0.0226655,0.004103429,0.0008411422,0.0002180316,0.005494154,0.01344633,0.0005073471,0.03224855,0.9070095,0.003998043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273996,0.002636776,0.001474738,0.006790136,0.002421154,0.0006406882,0.00004438082,0.00185753,0.05673496],"genre_scores_gemma":[0.9907897,0.0001998329,0.0002087084,0.0009855774,0.003136311,0.00008539487,0.0001075301,0.0002432208,0.004243796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8261703,"threshold_uncertainty_score":0.9998931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351281113131848,"score_gpt":0.2638845215318874,"score_spread":0.2403717104005689,"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."}}