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Record W4386252257 · doi:10.14507/cie.vol24iss2.2188

Not “Just” an Undergrad: Undergraduate Journals as a Portal to Participating in Academic Discourse Communities

2023· article· en· W4386252257 on OpenAlexaffabout
Paige France, Christopher Eaton

Bibliographic record

VenueCurrent Issues in Education · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUndergraduate researchVariety (cybernetics)PublicationUndergraduate studentSociologyUndergraduate educationJournal writingSpace (punctuation)PsychologyPedagogyMedical educationLibrary sciencePolitical scienceTeaching methodMedicine

Abstract

fetched live from OpenAlex

This essay examines a case study that investigated how students learned and how they applied their writing skills as they pursued publication in an undergraduate scientific journal at a Canadian university. As we conducted a genre analysis of student drafts submitted to the journal and interviewed students who published in the journal’s inaugural year, we noted the desire and eagerness that students had to publish at the undergraduate level. We also noticed certain barriers to students fully participating in research for their discourse communities, including challenges accessing publication opportunities and revising their work for new audiences and contexts. Undergraduate journals offer a tremendous space for them to hone a variety of skills in a supportive environment while also taking the first steps to fully participating in scholarly practice.

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)0.021
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.041
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0190.012
Scholarly communication0.0250.017
Open science0.0020.017
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.172
GPT teacher head0.484
Teacher spread0.312 · 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.

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".

Quick stats

Citations1
Published2023
Admission routes2
Has abstractyes

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