ManyLanguages

#ManyLanguagesChallengeOfTheMonth Citation practices suffer from systemic biases that can distort the academic record. Researchers often rely on a narrow canon of highly cited publications as cognitive shortcuts for identifying authoritative work, a phenomenon related to the Matthew Effect.

We'd love to hear your thoughts: - How do you decide what literature to cite? - Have AI tools changed the way you discover and evaluate research?

#ManyLanguagesChallengeOfTheMonth Citation practices suffer from systemic biases that can distort the academic record. Researchers often rely on a narrow canon of highly cited publications as cognitive shortcuts for identifying authoritative work, a phenomenon related to the Matthew Effect.

As a consequence, important work by women, early-career researchers, scholars from the Global South, and other underrepresented groups may receive less visibility than it deserves.

#ManyLanguagesChallengeOfTheMonth Citation practices suffer from systemic biases that can distort the academic record. Researchers often rely on a narrow canon of highly cited publications as cognitive shortcuts for identifying authoritative work, a phenomenon related to the Matthew Effect.

Fancy a weekend read? We've got a preprint for you! zenodo.org/records/2214...

For this month’s #ManyLanguagesChallengeOfTheMonth , we’d like to hear your experiences with *ethics approval* processes around the world:

This month, we’re turning our attention to the realities of project management in academia — something that affects every Big Team Science project.

This month’s #ManyLanguagesChallengeOfTheMonth focuses on something many of us grapple with every year: seasonal recruitment difficulties.

- Have you found strategies that help maintain steady participation across seasonal dips

This month’s #ManyLanguagesChallengeOfTheMonth focuses on something many of us grapple with every year: seasonal recruitment difficulties.

Whether you’re running online experiments, lab‑based studies, or fieldwork, recruitment patterns often shift dramatically during long breaks. For some teams, summer holidays mean fewer students on campus; for others, winter holidays mean participants are travelling, busy, or simply less available.

This month’s #ManyLanguagesChallengeOfTheMonth focuses on gamification in linguistic data collection. Gamifying data collection in linguistics has many benefits.

We also wonder abt potential disadvantages: -Are there cultural concerns or cross‑community differences in how gamified tasks are perceived -Are some gamified elements more acceptable than others -How do we ensure that gamification enhances, rather than distracts from, the scientific goals

This month’s #ManyLanguagesChallengeOfTheMonth focuses on gamification in linguistic data collection. Gamifying data collection in linguistics has many benefits.

The gamification methods can include, but are not limited to:  -multi‑platform interface for inclusive and easy access -more engaging user interfaces -interactive task elements -clear progress indicators -point systems and leaderboards -rewards or achievement structures

This month’s #ManyLanguagesChallengeOfTheMonth focuses on gamification in linguistic data collection. Gamifying data collection in linguistics has many benefits.

This month, we’re highlighting two interconnected #ManyLanguagesChallengeOfTheMonth challenges that sit at the heart of scaling ManyLanguages projects across diverse linguistic and cultural contexts.

This raises important questions: - How do we meaningfully reach colleagues and communities in the Global South? - What strategies have worked for building collaborations where institutional access is limited?

This month, we’re highlighting two interconnected #ManyLanguagesChallengeOfTheMonth challenges that sit at the heart of scaling ManyLanguages projects across diverse linguistic and cultural contexts.

2️⃣ Scaling Projects Without Direct Access to Target Populations: ManyLanguages, like other Big Team Science initiatives, aims to collect data from a wide range of populations to build findings that genuinely reflect human diversity.

This month, we’re highlighting two interconnected #ManyLanguagesChallengeOfTheMonth challenges that sit at the heart of scaling ManyLanguages projects across diverse linguistic and cultural contexts.

So we’re asking: - What recruitment strategies work in your region? - Are there local norms or incentives that help sustain participation?

This month, we’re highlighting two interconnected #ManyLanguagesChallengeOfTheMonth challenges that sit at the heart of scaling ManyLanguages projects across diverse linguistic and cultural contexts.

1️⃣ Recruiting and Incentivising Adult Participants Across Contexts: The CLAPS team has been reflecting on how researchers around the world recruit and incentivise adult participants for longer studies.

This month’s #ManyLanguagesChallengeOfTheMonth comes from the world of **grammatical acceptability judgments** by the ML2 CLAPS team. @ambridge.bsky.social

Analysis: the latter really requires ordinal models, which can be computationally intensive. Theory: is the notion of grammatical acceptability really continuous (can one sentence be “twice as grammatical” as another?) or is it really underlyingly ordinal (are we implicitly “ranking” sentences?)

This month’s #ManyLanguagesChallengeOfTheMonth comes from the world of **grammatical acceptability judgments** by the ML2 CLAPS team. @ambridge.bsky.social