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Record W4389609318 · doi:10.29173/writingacrossuofa58

Tutoring with the Vampire

2023· article· en· W4389609318 on OpenAlexaffvenue
Anya Smolny

Bibliographic record

VenueWriting across the University of Alberta · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTUTORNarrativePsychologyBibliotherapyAnxietyAppropriationSession (web analytics)VampirePedagogyComputer scienceEpistemologyLiteraturePsychotherapistArt

Abstract

fetched live from OpenAlex

Attending a tutoring session can be challenging for students. In addition to general anxiety, cultural norms and bad experiences may deter students from pursuing tutoring. Additionally, if the experience is unpleasant, students may not return despite the potential benefits. Anxiety is detrimental to learning, so an anxiety-ridden student will not receive a fulfilling learning experience. Therefore, part of a tutor’s responsibility is ensuring their tutee has a positive tutoring experience in a comfortable environment that fosters genuine learning. However, how does a tutor provide a positive experience?“Tutoring with the Vampire” is a creative non-fiction short story highlighting how a tutor can create a good environment, looking at the benefits of breaking the ice, building rapport, and avoiding appropriation. The short story obeys the rule “show, don’t tell” as it strives to demonstrate that these are three beneficial things for tutors to consider while utilizing scholarly sources. In addition, the narrative prose shows the reader a positive tutoring experience, allowing the reader to envision the examples in a straightforward fashion.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.010
GPT teacher head0.192
Teacher spread0.182 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes2
Has abstractyes

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