MétaCan
Menu
Back to cohort
Record W4413057307 · doi:10.1177/07410883251349202

Ecologies of Research Writing in Chinese Universities

2025· article· en· W4413057307 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWritten Communication · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsFraming (construction)ChinaLiteracySociologyAcademic writingProfessional writingContext (archaeology)Function (biology)Set (abstract data type)PedagogyPolitical scienceGeography

Abstract

fetched live from OpenAlex

This study explores how the scholarly writing practices of early-career academics in China create new “ecologies” of research writing. Using a literacy studies framing, we examine how productivity policies, including evaluation and incentivization, impact the writing practices of academics working in the humanities and social sciences (HSS), creating a set of spatiotemporal predicaments and uncertainties. We draw on interviews and multimodal journals obtained from 22 academics at Chinese universities. Findings reveal important practices among China’s HSS academics within the distinctive institutional and policy landscape of Chinese academia, including how they organize their space and time for writing, the significance and function of writing practices, and the ways in which boundaries are disrupted and negotiated. We show that writing is deeply intertwined with multiple spaces and times, forming an ecology of research writing within emergent and shifting assemblages. We emphasize the need for further theoretical and practical understanding of research writing in the context of Chinese universities.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.096
GPT teacher head0.484
Teacher spread0.388 · 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