{"id":"https://openalex.org/W7172299086","doi":"https://doi.org/10.48550/arxiv.2607.29188","title":"Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives","display_name":"Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives","publication_year":2026,"publication_date":"2026-07-31","ids":{"openalex":"https://openalex.org/W7172299086","doi":"https://doi.org/10.48550/arxiv.2607.29188"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.29188","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.29188","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.29188","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031281142","display_name":"Sakayo Toadoum Sari","orcid":"https://orcid.org/0000-0003-2617-081X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sari, Sakayo Toadoum","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068963516","display_name":"Nelly Robin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robin, Nelly","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5144290102","display_name":"Michelle Auzanneau","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Auzanneau, Michelle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037137798","display_name":"Lakhdar Sa\u00efs","orcid":"https://orcid.org/0000-0003-2879-8627"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sais, Lakhdar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5144286051","display_name":"Veronique Petit","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Petit, Veronique","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5144294347","display_name":"Marie Veniard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Veniard, Marie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014938618","display_name":"Sa\u00efd Jabbour","orcid":"https://orcid.org/0000-0002-8389-8332"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jabbour, Said","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5035768126","display_name":"Fabien Delorme","orcid":"https://orcid.org/0000-0003-3696-8657"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Delorme, Fabien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.17030000686645508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.17030000686645508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.07289999723434448,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.054999999701976776,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intertextuality","display_name":"Intertextuality","score":0.8565999865531921},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.8373000025749207},{"id":"https://openalex.org/keywords/experiential-learning","display_name":"Experiential learning","score":0.7480000257492065},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6725999712944031},{"id":"https://openalex.org/keywords/theme","display_name":"Theme (computing)","score":0.5189999938011169},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5026000142097473},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.37709999084472656}],"concepts":[{"id":"https://openalex.org/C2781415766","wikidata":"https://www.wikidata.org/wiki/Q667404","display_name":"Intertextuality","level":2,"score":0.8565999865531921},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.8373000025749207},{"id":"https://openalex.org/C37228920","wikidata":"https://www.wikidata.org/wiki/Q1307600","display_name":"Experiential learning","level":2,"score":0.7480000257492065},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6725999712944031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5320000052452087},{"id":"https://openalex.org/C33566652","wikidata":"https://www.wikidata.org/wiki/Q1065927","display_name":"Theme (computing)","level":2,"score":0.5189999938011169},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5026000142097473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4790000021457672},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46939998865127563},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4426000118255615},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C2776538412","wikidata":"https://www.wikidata.org/wiki/Q989963","display_name":"Storytelling","level":3,"score":0.32420000433921814},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3163999915122986},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.2822999954223633},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.2759999930858612},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.2533000111579895},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.29188","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.29188","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.29188","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.29188","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Migrants":[0],"traversing":[1],"geographically":[2],"distinct":[3],"routes":[4],"such":[5],"as":[6],"the":[7,29,128,152,172],"Trans-Saharan":[8],"and":[9,24,61,81,87,113,156],"Balkan":[10],"corridors":[11],"often":[12],"recount":[13],"strikingly":[14],"parallel":[15],"lived":[16],"experiences:":[17],"police":[18],"violence,":[19],"smuggler":[20],"exploitation,":[21],"dangerous":[22],"crossings,":[23],"family":[25],"separation.":[26],"We":[27,93],"introduce":[28],"task":[30],"of":[31],"experiential":[32,38,154],"intertextuality":[33,100],"detection:":[34],"automatically":[35,57],"identifying":[36],"shared":[37],"echoes":[39],"across":[40],"migration":[41,51],"narratives":[42,52],"without":[43],"requiring":[44],"annotated":[45],"training":[46],"data.":[47],"From":[48],"108":[49],"French":[50],"spanning":[53],"both":[54],"corridors,":[55],"we":[56],"generate":[58],"sentence":[59,69],"pairs":[60,150],"score":[62],"them":[63],"using":[64],"annotation-free":[65],"methods:":[66],"lexical":[67],"baselines,":[68],"embeddings,":[70],"POS-based":[71],"structural":[72],"features,":[73,80],"a":[74,157,168],"migration-specific":[75],"theme":[76],"lexicon,":[77],"context-aware":[78],"narrative":[79,143],"zero-shot":[82,126],"LLM":[83],"scoring":[84],"with":[85,119,148],"Qwen2.5-7B":[86,125],"Mistral-7B":[88],"under":[89],"three":[90],"prompting":[91],"strategies.":[92],"validate":[94],"all":[95,110,161],"methods":[96,115],"against":[97],"816":[98],"expert-annotated":[99],"judgments":[101,121],"(inter-annotator":[102],"Krippendorff's":[103],"$\u03b1=":[104],"0.27$).":[105],"Our":[106],"results":[107],"reveal":[108],"that":[109],"surface,":[111],"structural,":[112],"embedding":[114],"correlate":[116],"only":[117],"weakly":[118],"expert":[120],"($r":[122,132],"\\leq":[123],"0.30$);":[124],"achieves":[127,164],"best":[129,173],"single-method":[130],"correlation":[131],"=":[133,166],"0.38$);":[134],"few-shot":[135],"examples":[136],"degrade":[137],"Qwen":[138],"but":[139],"dramatically":[140],"improve":[141],"Mistral;":[142],"position":[144],"significantly":[145],"predicts":[146],"intertextuality,":[147],"departure-phase":[149],"showing":[151],"highest":[153],"echoes;":[155],"supervised":[158],"hybrid":[159],"combining":[160],"31":[162],"features":[163],"$r":[165],"0.45$,":[167],"21%":[169],"improvement":[170],"over":[171],"individual":[174],"method.":[175]},"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2026-08-04T00:00:00"}