MétaCan
Menu
Back to cohort

Fernando Pessoa

2024· book· en· W4400795986 on OpenAlexaff
Jonardon Ganeri

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicHealth, Education, and Cultural Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

Abstract Fernando Pessoa (1888–1935) is the quintessential philosophical outsider. Affiliated with no institution and associated with no traditional school, in his prose fiction and poetry Pessoa invents a new philosophy of the human subject. Writing both in Portuguese and English, Pessoa argues that imagination is key to human flourishing and human self-enrichment. Each of us, he claims, can use our powers of imagination to pluralize ourselves—that is to say, to live, simultaneously and in sequence, as a plurality of distinct subjects. Calling these artefact minds “heteronyms,” Pessoan synthetic selves are new ways to poetically experience the world. Pessoa’s new theory of the human subject is a radical departure from the history of Christian or Islamic thought. It is, on the other hand, deeply resonant with strands of thinking about the nature of self found in classical India. Reconstructing ourselves in imagination is a theme central to the great philosophical storybook of India, the Mokṣopāya or Yogavāsiṣṭha, a metaphysical tale of nested virtual realities and virtual selves. There are anticipations of Pessoa’s ideas too in the Mahābhārata. Fernando Pessoa, whose time in Durban briefly overlapped with that of Mahatma Gandhi, was well-read in Indian literature, having in his library the poetry of Rabindranath Tagore and books about Indian philosophy. He discusses the Upaniṣads and what he calls “the Indian ideal.” Indeed, from in of his more esoteric writings it is possible to identify a new variety of panpsychism in the spirit of Coleridge and Whitman.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.296
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.003

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 head0.049
GPT teacher head0.368
Teacher spread0.320 · 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
GenreOther

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 routes1
Has abstractyes

Explore more

Same topicHealth, Education, and Cultural StudiesFrench-language works237,207