{"id":"https://openalex.org/W7117158577","doi":"https://doi.org/10.48550/arxiv.2512.18505","title":"Teaching and Critiquing Conceptualization and Operationalization in NLP","display_name":"Teaching and Critiquing Conceptualization and Operationalization in NLP","publication_year":2025,"publication_date":"2025-12-20","ids":{"openalex":"https://openalex.org/W7117158577","doi":"https://doi.org/10.48550/arxiv.2512.18505"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2512.18505","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.18505","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.2512.18505","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013587924","display_name":"Vagrant Gautam","orcid":"https://orcid.org/0000-0002-7263-8578"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gautam, Vagrant","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5013587924"],"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":0.05339999869465828,"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":0.05339999869465828,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.043299999088048935,"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/T11148","display_name":"Language, Metaphor, and Cognition","score":0.037300001829862595,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/conceptualization","display_name":"Conceptualization","score":0.9721999764442444},{"id":"https://openalex.org/keywords/operationalization","display_name":"Operationalization","score":0.8801000118255615},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.52920001745224},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.44519999623298645},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.2978000044822693}],"concepts":[{"id":"https://openalex.org/C90734943","wikidata":"https://www.wikidata.org/wiki/Q17008777","display_name":"Conceptualization","level":2,"score":0.9721999764442444},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.8801000118255615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5551000237464905},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.52920001745224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4749000072479248},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.44519999623298645},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4375999867916107},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.32089999318122864},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.30880001187324524},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2512.18505","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.18505","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.2512.18505","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.18505","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.807693600654602}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"NLP":[0],"researchers":[1],"regularly":[2],"invoke":[3],"abstract":[4],"concepts":[5],"like":[6],"\"interpretability,\"":[7],"\"bias,\"":[8],"\"reasoning,\"":[9],"and":[10,28,34,60,75,95,102,107],"\"stereotypes,\"":[11],"without":[12],"defining":[13],"them.":[14],"Each":[15],"subfield":[16],"has":[17],"a":[18,83],"shared":[19,36],"understanding":[20,37],"or":[21],"conceptualization":[22,94],"of":[23,93],"what":[24,67,71],"these":[25,52,91],"terms":[26],"mean":[27],"how":[29,76],"we":[30,78],"should":[31,72,77],"treat":[32],"them,":[33,59],"this":[35],"is":[38],"the":[39],"basis":[40],"on":[41,105],"which":[42],"operational":[43],"decisions":[44],"are":[45,48,55,62],"made:":[46],"Datasets":[47],"built":[49],"to":[50,57,89],"evaluate":[51],"concepts,":[53],"metrics":[54],"proposed":[56],"quantify":[58],"claims":[61],"made":[63],"about":[64],"systems.":[65],"But":[66],"do":[68],"they":[69,73],"mean,":[70,74],"measure":[79],"them?":[80],"I":[81,85],"outline":[82],"seminar":[84],"created":[86],"for":[87],"students":[88],"explore":[90],"questions":[92],"operationalization,":[96],"with":[97],"an":[98,103],"interdisciplinary":[99],"reading":[100],"list":[101],"emphasis":[104],"discussion":[106],"critique.":[108]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-12-24T00:00:00"}