Bibliographic record
Abstract
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).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.155 | 0.089 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".