Evidence map›Paper›PMID 30837922›Full record

ArticleFrontiers in psychology2019

Eliciting Big Data From Small, Young, or Non-standard Languages: 10 Experimental Challenges.

Evelina Leivada, Roberta D'Alessandro, Kleanthes K Grohmann

Abstract read
In one paragraph

Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Evelina LeivadaDepartment of Language and Culture, UiT The Arctic University of Norway, Tromsø, Norway.
Roberta D'AlessandroUtrecht Institute of Linguistics, UiL-OTS, Utrecht University, Utrecht, Netherlands.
Kleanthes K GrohmannDepartment of English Studies, University of Cyprus, Nicosia, Cyprus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this work is to identify and analyze a set of challenges that are likely to be encountered when one embarks on fieldwork in linguistic communities that feature small, young, and/or non-standard languages with a goal to elicit big sets of rich data. For each challenge, we (i) explain its nature and implications, (ii) offer one or more examples of how it is manifested in actual linguistic communities, and (iii) where possible, offer recommendations for addressing it effectively. Our list of challenges involves

Indexed as

big datadialectexperimental designfieldworkrich datasign language

Identifiers

PMID30837922
PMCPMC6382742

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.