Notice bibliographique
Résumé
Reporting the earliest written instance of a word is an important office of the historical lexicographer. For the Oxford English Dictionary (OED), documentation of earliest use has been a claim to fame, filtering into the broader culture as part of the dictionary’s mythos of authority. Not surprisingly, therefore, the full-scale OED revision project undertaken since 2000 (OED3), and updated at quarterly intervals at OED.com, has cared to re-research usage evidence for every entry, supplying new instances of earliest use wherever possible. Such finds are sometimes celebrated in accompanying public statements and commentaries, such as those by OED Deputy Chief Editor Philip Durkin discussing ‘a splendid antedating of “white lie’’ or ‘a startling antedating for partner meaning “spouse’’’.1 One-upping the OED in this arena has for a long time been something of a sport for recreational and semiprofessional lexicologists—not infrequently carried out in these pages, most prolifically in the 1960s and ’70s, and up to the recentest issues.2 Today antedatings are also solicited officially under the banner of specialized ‘Appeals’ (a venerable OED tradition retrospectively described as ‘crowdsourcing initiatives’, at the moment seeking antedatings for lemmas in the alphabetical range ‘m–r’) on OED.com3; as well as a general purpose online form encouraging ‘linguistic detective work’4; and on social media, where the hashtag #oedantedatings has from time to time marked out proposals and discussions of earlier usages. In May of 2020 an automated Twitter account (@LOWbot) created by the present author tweeted a new potential antedating of revised OED3 entries every hour for a week, based on a much longer list of 54,000 potential antedatings drawn from simple programmatic searches in repositories of historical texts.5 As the scale of this (otherwise casual) enterprise implies, antedating an OED entry is often a matter of looking closely in the right places. Conversely, arriving at an antedating which will stand up to such further researches is truly a challenge. As early as the late 1970s this was apparent to Jürgen Schäfer, who predicted on the basis of meticulous statistical case studies that 40 per cent of OED entries could be antedated, though 70 per cent of these antedatings would be of less than fifty years, and therefore fairly trivial in terms of their significance to the history of the language.6 The present article presents new comparative analyses of OED2 (1989) and OED3 (2022),7 which indicate that Schäfer’s estimates proved reasonably accurate, at least during the first phase of OED3 revisions to OED2 entries (the Second Supplement to the OED, published between 1972 and 1986, did include many earlier citations which were subsequently integrated into OED2, but systematic or comprehensive antedating was not attempted). There may be an element of coincidence to this, as several of Schäfer’s premises don’t exactly apply to the general case, but in the early 2000s OED3 revised earliest dates downwards an average of 38–44 per cent of the time, with 84–88 per cent of these antedatings being of less than fifty years (Figure 1). Revisions to OED2 Earliest Citations by OED3 Update (Rate and Mean). Importantly, the discovery of an antecedent use is not the only cause of a change in the earliest recorded usage in a revised entry. Many types of revision may lead to earlier, or indeed later, first usage dates, including bibliographical adjustments to composition or manuscript dates (such as occurred for several of Shakespeare’s plays), or new manuscript editions (such as, e.g., the Hengwrt Chaucer, ed. 2003), or the merging of entries. The incidence of revised earliest dates falling later in OED3 than in OED2, which I call here ‘postdates’ (not to be confused with the latest recorded usages), has been relatively stable over the revision project, averaging between 12 and 15 per cent. In addition to the bibliographical adjustments listed above, an entry may receive a later first date (but not an earlier one) as a result of the relabeling of an earliest quotation (e.g., as ‘relevant but not directly illustrative’, see abscess), or its reassignment to another or a new lemma (e.g., from accumb to accumbing), or its suppression altogether (e.g., in accomplice, accuser), or the reorganization of an entry as a whole into separate lemmas (e.g., aburst). Similarly to postdates, the number of entries revised with near antedates, i.e. of less than ten years (where we would expect to find most bibliographical date adjustments), has remained stable over the project and within a similar narrow range, about 12 or 13 per cent of revised entries.8 Longer antedatings, however, follow an arc with two important inflections, and, as Figure 1 illustrates, lead to a congruent three-part pattern of antedating rates overall. Whereas the overall antedating rate improved gradually, if slightly, from the first updates in 2000–2007, the period between 2007 and 2014 saw a steep increase antedatings, from a trailing two-year average of 43 per cent at the end of 2006 to an average of 66 per cent by the middle of 2013. This proved to be a high-water mark for OED3 antedatings, with the average remaining flat between 66 and 62 per cent in the decade since (though individual batches of updates sometimes contained substantially more, or less). This suggests that for OED3 entries revised before 2007 (about fifty-one thousand, virtually all of them located in the alphabetical range ‘m–p’),9 just under half of those with unchanged earliest dates might now be antedated, with significant numbers of antedated entries revised further. The jump in antedatings from over 40 per cent to over 60 per cent can be explained in large part by the increasing availability of high-quality large historical text databases in this period and the lead-up to it, and to improvements in search algorithms applied to these databases, which in many cases integrated spectrum searches for likely orthographical and inflectional variants appropriate to the period covered. While OED.com does not display the particular means of acquisition for any individual quotation, the period in question saw the introduction, or significant expansion, of, to name only the most prominent: general books datasets such as Google Books (announced 2004, reaching 10 million volumes in 2010); historical text datasets, especially Early English Books Online (EEBO-TCP Phase I 2001–2009, Phase II 2009–) and Eighteenth Century Collections Online (ECCO; 2005–2010); and general or regional periodical databases such as NewspaperArchive (1999–, reaching ∼900 million articles in 2008) or Australia’s Trove (2009). OED2 lemmas may be more or less susceptible to antedating due to a number of factors, including the date of publication of the original entry or its latest revision (dates for lemmas added in early OED fascicles are more likely to change than those added in the Second Supplement), the original earliest date (very old words are more likely to change than newer ones), the type of source text, and the type of vocabulary and its distribution, including its specialized or regional status.10 The most likely individual sources to be antedated are all nineteenth-century encyclopedias, dictionaries and lexicons, and periodicals. Most prominently among heavily cited sources, OED3 antedates three-quarters of OED2 entries first citing various editions of Webster, Encyclopaedia Britannica, and the Daily News; and more than two-thirds of those first citing Todd’s Cyclopedia of Anatomy and Physiology, New Sydenham Society Lexicon, Pall Mall Gazette, Westminster Gazette, and Athenaeum. The most antedated sources in raw terms (apart from Webster)—all among the most quoted sources in OED2, naturally—are antedated significantly less frequently: Shakespeare forty-six per cent of the time (about average for his period), Cursor Mundi thirty-two, and Chaucer twenty-nine (excluding self-antedatings etc.). Figure 2 breaks down OED3 revisions according to original OED2 first citation date, grouped by century, and the length of the change in earliest date. Among other things the graph illustrates just how unstable the dating of words to Middle English and earlier has been between these two editions, with relatively few earliest dates before 1400 surviving revision intact. Many such revisions are due to bibliographical adjustments, as the high percentage of postdates indicates. Another significant factor has been the addition of a small number of productive early sources unknown to OED2, such as Guy de Chauliac (Grande Chirurgie, 585 antedates), in addition to new citations from already well covered sources, such as Trevisa (323 antedates), Pecock (157), Lydgate (141), and Lanfranc’s Cirurgie (87). Over 3,800 early first citations were added from work in the Middle English Dictionary, completed in 2001 and revised in 2016–2018. Important modern sources of antedates include the Times (450 antedates), Philosophical Transactions (269), the Lancet (223), and Science (171). Revisions to OED2 Earliest Citations by Original Earliest Date. The percentage of entries antedated is one important measure of the revision; the length of antedating is another. Figure 1 includes a curve (keyed to the right vertical axis) showing the average (mean) length of all antedatings per quarterly update (i.e. excluding postdates and unchanged dates), smoothed to a two-year (eight-quarter) average. As with the rate of antedating, the antedating length (and thus the overall quality) improves sharply in the middle years of the revision project (though the rise is offset slightly), from a mean of fifty-one years in the initial two years, to a high of seventy-two years by the end of 2014. Subsequently this comes back down, to below sixty, before rising again to near sixty-four in the most recent two years analyzed.11 As Schäfer pointed out long ago, very long antedatings are of particular interest to the lexicologist, and to the historian of ideas and the social historian, among other consulters of the historical dictionary. From a linguistic point of view this is especially so where continuous usage can be documented between the previous earliest date and the new one (many long antedatings involve independent recoinages).12 This may be illustrated with a brief selection of very long antedatings13 of words formed with woman and -ess, as each attesting to a conceptualization operating in the culture of the time (what precisely the conceptualization may be, and what it signifies, is a matter for careful elaboration). These can be of a general kind, as may be memorialized in the literate culture, for example womankind (antedated ∼200 years, to c1175), or womanless (∼566 y, to ?c1280); or more specifically reflective in one way or another of roles and functions in the broader contemporary culture, as boatwoman (136 y, to 1707), cellaress (∼377 y, to a1425), craftswoman (318 y, to 1568), or workwoman (∼149 y, to a1382); or of status opportunities or lack thereof, as freewoman (∼411 y, to ?c1200), or ruleress (∼198 y, to c1450); and may serve additionally to evidence intersections with other conceptualizations, such as nationality or race, as recorded in Englishwoman (∼130 y, to c1400), Scotswoman (298 y, to 1522), Frenchwoman (∼255 y, to a1338), or Chinawoman (259 y, to 1613, a decade earlier than its male-gendered homologue, and with the same added cautionary note, ‘Now likely considered offensive’). The work was partially funded by the Social Sciences and Humanities Research Council of Canada (grant no. 435-2022-0344).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,007 | 0,010 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,009 | 0,006 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,155 | 0,089 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».