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Record W7064220234

Analyzing participant inclusion in Spanish, French and English passive-like structures: the influence of pragmatic-discursive factors

2018· article· en· W7064220234 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
Fundersnot available
KeywordsPronounPerspective (graphical)ReflexivityVariation (astronomy)Selection (genetic algorithm)Register (sociolinguistics)FrenchContrastive linguisticsAgreement
DOInot available

Abstract

fetched live from OpenAlex

This paper aims to analyze the use of different structures that allow for expressing the passive voice in Spanish, French and English in formal and informal registers. Besides taking taking into account intrinsic characteristics of the structures, the study examines in detail pragmatic features and register variation. While comparative work on (some of) these passive structures has been carried out from a typological perspective (Siewierska 1984, Rousseau 2000, Siewierska & Papastathi 2011, Gast & van der Auwera 2013) or contrasting specific constructions in two languages (e.g. Espinoza 1997, Haverkate 2004), a contrastive study of the panorama of passives in different languages and registers is lacking. More precisely, this paper focuses on passive constructions based on a reflexive pronoun (se in Spanish and French), man-impersonals (on in French) and numeral-based indefinite pronouns (uno in Spanish and one in English). To conduct my study, I use both written and oral data from extracted from comparable informal corpora (Yahoo Questions & Answers for written data and ESLORA2 for Spanish oral data, CORALROM for French oral data and BNC for English oral data) and comparable formal corpora (Wikipedia for written data and Europarl for oral data). Analyzing corpus-based data, I aim to evaluate the potential impact of the inclusion/exclusion of participants on the selection of passive-like structures and to determine to which extent formally similar structures function differently across the languages under study. The languages selected for the present study pertain to the Indo-European language group and may share some grammatical properties. However, it is hypothesized that these languages do not always resort to the same structures and apparently similar constructions may convey slightly different meanings, hence the importance and interest of establishing and examining a selection of passive related structures. Our two research questions will thus be: (1) how may the linguistic environment affect the inclusion/exclusion of participants and what is the impact on the selection of passive-like structures in Spanish, French and English? and (2) is there a possible influence of the genre on the inclusion/exclusion of participants in the expression of passive voice? Taking into account the linguistic environment, it is expected that linguistic factors such as person references (1), adverbial constructions (2) or prepositional phrases (3) in the nearby context have a crucial importance in determining which participants are included in the interpretation of the passive-like structure. (1) (…) do you want us to confirm your desire is possible or do you want the real answer from real aviators? {S} Part of maturity is being able to recognize that one's desires may not be obtainable. (2) Generalmente se acepta que el fruto se desarrolla posteriormente a la fertilización, sin embargo, esto no es necesariamente cierto siempre, (…). ‘Usually it is accepted that fruits grow after fertilization, however, this is not always necessarily sure. (3) Comment fait-on dans les pays nordiques ou au Canada ou les températures sont bien plus basses et la neige plus abondante ? ‘How do they do in Nordic countries or in Canada where temperatures are far lower and snow heavier.’ Preliminary results show that when there is a person reference in the nearby context the constructions under study display various similarities and differences both across languages and across registers. The Spanish se is more productive than its French counterpart is and functions slightly differently. The pilot analysis reveals that, in the Corpus Yahoo Questions & Answers, the Spanish se occurs more frequently with a person reference in its nearby context than the French construction with se. In addition, both constructions display variations in participant inclusion. This may suggest that these formally similar structures occupy a different position on the continuum of passive-like structures. My first findings also suggest that the feature ‘person reference in the context’ show a similar behavior in informal written data and a different one in formal written data. For example, in Spanish informal data, constructions with se and uno both tend to include a person reference in their context and to have the possibility to include a different range of participants. In formal data, the Spanish se tends to refer to a person outside the communicational situation while uno is often interpreted as maximally inclusive. The pilot analysis reveals that ‘person reference in the context’ is not the only factor accounting for participant inclusion. The presence of an adverbial construction may also have an impact when determining which participant is included in the passive-like structure. When the latter has a generic interpretation, the se construction (both in French and in Spanish), accompanied by a generalizing adverb, tends to be favored. The use of an adverb would be more specific of the Spanish language. These first analyses furthermore suggest that the phenomenon of participant inclusion in passive voice constructions will be more specific of informal registers. I expect the oral data to have a similar behavior, the presence of a person reference in the context of the passive-like structures being strengthened. Ultimately, this investigation suggests that the studied structures have different positions on the panorama of passive voice constructions, some receiving a more impersonal interpretation than others. Such a large panorama of passive-like structures may help linguistic experts evolving in a global environment to have a better understanding of the subtleties and differences between the languages under study.

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 imitation

Not 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.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.056
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.010
GPT teacher head0.212
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueDigital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))Same topicAdaptive optics and wavefront sensingFrench-language works237,207