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Record W4392053037 · doi:10.26522/brocked.v33i1.1119

“Hey, You There!”: Theorizing the Open Letter as Methodology in Academic Writing

2024· article· en· W4392053037 on OpenAlexaffvenue
Nicholas Rickards

Bibliographic record

VenueBrock Education Journal · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsPsychologySociologyPsychoanalysis

Abstract

fetched live from OpenAlex

From James Baldwin's (1962) “A Letter to My Nephew,” which laid bare the brutalities of being black in 1960s America, to Chanelle Miller’s published victim impact statement addressed to her assailant, which provided vocabulary and was kindle for #MeToo, examples abound demonstrating the ways in which the open letter continuously surfaces during pivotal historical junctures. Although the contextual significance of this format of authorship is widely used in scholarly disciplines ranging from education to history, the structural significance of the open letter as a methodologic approach to academic writing has yet to be theorized, leaving questions that merit attention: Why is the open letter so often used by marginalized groups? What are the literary and rhetorical effects of the enclosed addressed between sender and receiver? Finally, how does this format of writing create and affect the positionality and subjectivity of authors? By writing a letter addressed to Academia/School, this essay makes the case for the open letter as something to be studied but also a methodology and study in and of itself. By drawing on literary theory, cultural studies, and research on writing in academia, this essay suggests that the open letter is an important form of authorship and argues for revisiting the open letter as a legitimate form of scholarship as well as an authentic form of academic writing in education.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.132
GPT teacher head0.424
Teacher spread0.292 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2024
Admission routes2
Has abstractyes

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