MétaCan
Menu
Back to cohort
Record W2773399280 · doi:10.1177/1077800417745101

Eight Events for Entering a PhD: A Poetic Inquiry Into Happiness, Humility, and Self-Care

2017· article· en· W2773399280 on OpenAlexafffund
Amber Moore

Bibliographic record

VenueQualitative Inquiry · 2017
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsPoetryHumilityHappinessScholarshipEvent (particle physics)SociologyAestheticsPsychologyLiteratureSocial psychologyPhilosophyArtLawTheology

Abstract

fetched live from OpenAlex

These two poetry clusters comprised a total of eight poems that offer (a) reflective, “past” event poetry and (b) hopeful “humbling” event pieces for future use. Inspired by scholarship examining novice academics’ emotions upon entering graduate school, each poem outlines a potential path to accessing happiness, humility—an especially important quality in graduate school, particularly while writing—and ideas for self-care. As such, through poetic inquiry, which encourages “poetic living,” this article offers avenues for engaging with authorial voice through “vox autobiographia/autoethnographia,” to confront emotional “messiness,” with a “tender” poetic approach.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.149
GPT teacher head0.475
Teacher spread0.325 · 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

Citations5
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueQualitative InquirySame topicEmpathy and Medical EducationFrench-language works237,207