Bibliographic record
Abstract
This dataset is distributed under a Creative Commons Attribution Non Commercial 4.0 International license. Use for research purposes only! The dataset contains 13,171 variable double-object and prepositional datives extracted from the International Corpus of English series and the Corpus of Global web-based English sampling from nine national varieties of English: British English Canadian English New Zealand English Irish English Hong Kong English Philippine English Singapore English Indian English Jamaican English The dataframe contains the following columns: 1 TokenID: Unique identifier for the individual token 2 Variety: The variety from which the token is taken 3 Nativity: Native or non-native variety of English (L1 vs. L2) 4 Corpus: The corpus from which the token stems 5 Subcorpus: Combination of Corpus and Variety 6 FileID: ID of the corpus file in which the token was found. Format: VARIETY:FILENAME 7 TextID: ID of the corpus text in which the token was found. Individual files in ICE can have multiple texts. Format: VARIETY:FILENAME:TEXTNUMBER 8 LineID: ID of the line in the text in which the token sentence was found. Format: VARIETY:FILENAME:TEXTNUMBER:LINENUMBER 9 SpeakerID: ID of the speaker of the sentence. Speakers in spoken texts are indicated with capital letters. Authors of written texts have ID ‘A’. Format: VARIETY:FILENAME:TEXTNUMBER:SPEAKERID 10 UnitMarker: UnitMarker of the utterance in the text. Format UTTERANCE NUMBER:TEXTNUMBER:SPEAKERID 11 GenreFine: 14-level distinction: The 12-level ICE sub-register in which the token was found and the two levels in GloWbE (blog vs. general). Levels: See ICE documentation 12 GenreCoarse: 5-level distinction: The 4-level ICE register in which the token was found and GloWbE (online = 1 level). Levels: See ICE documentation 13 Mode: The mode (‘spoken’, ‘written’) of the token. 14 Register: The 4-level Register along two axes – spoken vs. written / informal vs. formal 15 PriorContextPlain: The plain text version of the 100 words preceding the dative token. 16 PriorContextTag: The POS-tagged version of the 100 words preceding the dative token. 17 SentencePlain: The plain text version of the sentence containing the dative token. 18 SentenceTag: The POS-tagged version of the sentence containing the dative token. 19 WholeConstructionPlain: The plain text version of the VP containing the dative token (i.e. verb + object + object). 20 WholeConstructionTag: The POS-tagged version of the VP containing the dative token. 21 Verb: The lemma of the verbal head (give in gave it some thought) 22 VerbForm: The verb form of the verbal head (gave in gave it some thought) 23 RecipientShort: The short plain text version of the recipient without hesitations or repetitions 24 ThemeShort: The short plain text version of the theme without hesitations or repetitions 25 RecipientLong: The long plain text version of the recipient with hesitations or repetitions 26 ThemeLong: The long plain text version of the theme with hesitations or repetitions 27 RecHeadPlain: The plain text version of the recipient head 28 RecHeadTag: The POS-tagged version of the recipient head 29 RecHeadLemma: The lemma of the recipient head 30 ThemeHeadPlain: The plain text version of the theme head 31 ThemeHeadTag: The POS-tagged version of the theme head 32 ThemeHeadLemma: The lemma of the theme head 33 VerbThemeLemma: Combination of the verb lemma and the theme head. Format: VERB_THEME 34 VerbSense: Semantics of the verb based on the whole construction combined with the verb lemma. Format: VERB.VERBSEMANTICS 35 VerbSemantics: 5-level distinction of verb semantics (‘a’, ‘t’, ‘p’, ‘f’, ‘c’). 36 Resp: The variant order. Levels: ‘do’ (=ditransitive), ‘pd’ (=prepositional) 37 RecAnimacy: 6-level distinction of recipient animacy following previous research: human (a1) > animal (a2) > collective (c) > locative (l) > temporal (t) > inanimate (i) 38 ThemeAnimacy: 6-level distinction of theme animacy following previous research: human (a1) > animal (a2) > collective (c) > locative (l) > temporal (t) > inanimate (i) 39 RecWordLth: Length of recipient NP in words 40 RecLetterLth: Length of recipient NP in orthographic characters 41 ThemeWordLth: Length of theme NP in words 42 ThemeLetterLth: Length of theme NP in orthographic characters 43 RecComplexity 15-level distinction of recipient complexity indicating type and number of posthead dependents, restricted to the ICE components. (GloWbE components make simplified distinction between ‘simple’ and ‘complex’). Levels: ‘s’ = simple (no postmodifications), ‘co’ = coordinated, ‘ge’ = general extender, ‘gn’ = genitive, ‘postad’ = postmodifying adverbial/adjective, ‘pp’ = modifying prepositional phrase, ‘appnom’ = nominal apposition, ‘rc’ = relative clause, ‘cp’ = complement clause, ‘advc’ = adverbial clause, ‘nonfin’ = nonfinite clause, ‘tpp’ = two nominal posthead dependents, ‘tvp’ = two posthead dependents involving at least one VP, ‘mpp’ = more than two nominal posthead dependents, ‘mvp’ = more than two posthead dependents involving at least one VP 44 ThemeComplexity 15-level distinction of theme complexity indicating type and number of posthead dependents, restricted to the ICE components. (GloWbE components make simplified distinction between ‘simple’ and ‘complex’). Levels: ‘s’ = simple (no postmodifications), ‘co’ = coordinated, ‘ge’ = general extender, ‘gn’ = genitive, ‘postad’ = postmodifying adverbial/adjective, ‘pp’ = modifying prepositional phrase, ‘appnom’ = nominal apposition, ‘rc’ = relative clause, ‘cp’ = complement clause, ‘advc’ = adverbial clause, ‘nonfin’ = nonfinite clause, ‘tpp’ = two nominal posthead dependents, ‘tvp’ = two posthead dependents involving at least one VP, ‘mpp’ = more than two nominal posthead dependents, ‘mvp’ = more than two posthead dependents involving at least one VP 45 RecNPExprType: Syntactic category of the recipient NP Levels: ‘dem’ = bare demonstrative; ‘nc’ = common noun; ‘np’ = proper noun; ‘pprn’ = personal pronoun; ‘iprn’ = impersonal pronoun; ‘rprn’ = reflexive pronoun; ‘vp’ = gerund (-ing) NP; ‘wh’ = NP headed by wh- word 46 ThemeNPExprType: Syntactic category of the theme NP Levels: ‘dem’ = bare demonstrative; ‘nc’ = common noun; ‘np’ = proper noun; ‘pprn’ = personal pronoun; ‘iprn’ = impersonal pronoun; ‘rprn’ = reflexive pronoun; ‘vp’ = gerund (-ing) NP; ‘wh’ = NP headed by wh- word 47 RecGivenness: Givenness of the recipient NP. Levels: ‘given’, ‘new’ 48 ThemeGivenness: Givenness of the theme NP. Levels: ‘given’, ‘new’ 49 RecDefiniteness: Definiteness of the recipient NP. Levels: ‘def’, ‘indef’ 50 ThemeDefiniteness: Definiteness of the theme NP. Levels: ‘def’, ‘indef’ 51 RecBinComplexity: Binary predictor of recipient complexity indicating following postmodifications after the head noun. Levels: ‘simple’, ‘complex’ 52 ThemeBinComplexity: Binary predictor of theme complexity indicating following postmodifications after the head noun. Levels: ‘simple’, ‘complex’ 53 RecPerson: Person of recipient. Levels: ‘local’, ‘non-local’ 54 ThemeConcreteness: Concreteness of theme based on verb semantics. Levels: ‘concrete’, ‘non-concrete’ 55 TypeTokenRatio: Type-token ratio of the 100 word context surrounding the token 56 RecHeadFreq: Frequency of recipient head lemma in GloWbE 57 ThemeHeadFreq: Frequency of theme head lemma in GloWbE 58 RecThematicity: Normalized frequency of recipient head lemma in its text (per 2000 words) 59 ThemeThematicity: Normalized frequency of theme head lemma in its text (per 2000 words) 60 PrimeType: The response type of the preceding dative token, if any. Levels: ‘do, ‘pd, ‘NA’ 61 Persistence: Indicates whether preceding dative token, if any, is the same or not. Levels: ‘none’, ‘yes’, ‘no’ 62 SameUtterance: Indicates whether the preceding dative token occurred in the same utterance or not. Necessary for manual coding of persistence. 63 DistanceToPrevious: Number of utterances between current and preceding dative token. ‘None’ if no preceding dative token. 64 RecPron: Binary factor of recipient pronominality. Levels: ‘pron’, ‘non-pron’ 65 ThemePron: Binary factor of theme pronominality: Levels: ‘pron’, ‘non-pron’ 66 RecBinAnimacy: Binary factor of recipient animacy. Levels of RecAnimacy conflated to: ‘animate’, ‘inanimate’ 67 ThemeBinAnimacy: Binary factor of theme animacy. Levels of ThemeAnimacy conflated to: ‘animate’, ‘inanimate’ 68 logRecLetterLth: Natural logarithm of recipient length in orthographic characters 69 logThemeLetterLth: Natural logarithm of theme length in orthographic characters 70 WeightRatio: Ratio of object lengths: Recipient length in characters divided by theme length in characters 71 logWeightRatio: Natural logarithm of weight ratio 72 PrimeTypePruned: The variant of the preceding dative token within the previous 10 utterances. Levels: ‘none’, ‘do’, ‘pd’ 73 NumDistanceToPrevious: Numeric distance to previous token (for calculations in R) 74 PersistencePruned: Indicates whether the preceding token within the previous 10 utterances is the same as the current token. Levels: ‘none’, ‘yes’, ‘no’ 75-82 z.__________: Numeric predictor centered around the mean and scaled by two standard deviations. 83 Variety.Sum: Column used for sum coding in modeling process
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.043 | 0.006 |
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; both teacher heads agree on what is shown here.
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".