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Record W2580718566 · doi:10.14516/ete.2017.004.001.154

«Strong as Death is Love»: Eros and Education at the End of Time

2017· article· en· W2580718566 on OpenAlexaff
Sam Rocha, Adi Burton

Bibliographic record

VenueEspacio Tiempo y Educación · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Ethics, and Existentialism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSeriousnessCurriculumNovellaPsychoanalysisSociologyJudaismLiteraturePhilosophyEpistemologyPsychologyPedagogyTheologyArt

Abstract

fetched live from OpenAlex

This essay is an extended reflection on the relationship between death and love expressed in a fragment from Song of Songs 8:6: «Strong as death is love». The passage will be analyzed through a Jewish, Orthodox, and Catholic exegesis and literary reflection. In particular, the essay describes the role of a particular form of love (eros) within a particular form of education (education at the end of time). While eros has frequently been ignored or resigned to a purely sexualized role, we will look closely at Augustine’s eulogy of his mother, Monica, in the Confessions, suggesting that perhaps the most visceral expression of eros is to be found in the phenomenology of death. We will also draw on the phenomenological manifestation of death by looking to the rich description of dying provided by Leo Tolstoy in his novella, The Death of Ivan Ilych.Together these investigations of eros and education yield a «curriculum of death», which draws on the re-conceptualist notion of curriculum. Our claim is that this curriculum of death offers a sense of urgency and seriousness found lacking in schools today, where death abounds, but is rarely if ever addressed in a humanistic way. This final methodological emphasis on the humanities elucidates more directly and critically the role of research for a curriculum of death within the dominance of social science in the field of 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score1.000

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)0.0050.001

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 head0.043
GPT teacher head0.296
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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