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Record W4214482510 · doi:10.1017/s0267190521000192

Early-career scholars and scholarship: A social justice perspective

2022· article· en· W4214482510 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnual Review of Applied Linguistics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsWestern University
Fundersnot available
KeywordsScholarshipTransformative learningPerspective (graphical)SociologySocial justiceField (mathematics)Economic JusticeEngaged scholarshipKnowledge productionSocial sciencePublic relationsPolitical sciencePedagogyLaw

Abstract

fetched live from OpenAlex

Abstract This paper focuses on the concept of social (in)justice to examine and discuss some of the areas in the production and dissemination of knowledge in which the issue of social justice is significant and should be applied and considered. More specifically, it explores and advocates for some of the ways in which participation in, and contribution to, global scholarship can become a more socially just practice for academics, especially novice scholars and early-career researchers in the field of Applied Linguistics. It also highlights the role and agentive engagement of both established and junior members of academic communities as an important factor in demonopolizing and democratizing academic discourses and practices and making the mobilization of scholarship more diverse, inclusive, multivocal, and transformative.

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)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.774

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.032
GPT teacher head0.370
Teacher spread0.338 · 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