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Record W3109430834 · doi:10.5840/symposium202024215

Hidden Depths

2020· article· fr· W3109430834 on OpenAlexvenueno aff
Hannah Lagrand

Bibliographic record

VenueSymposium · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicHannah Arendt's Political Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPrivate lifePhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Throughout her work, Hannah Arendt continually insists on the importance of the division between public and private. However, while the value of the public is a clear theme in Arendt scholarship, the unique value of the private often goes overlooked. In this essay, I draw on Arendt’s work in The Life of the Mind, particularly her discussion of the thinking activity, in order to draw out the richness that the hiddenness of the private has to offer as well as to explore what it might look like to care for the private in a modern world.Dans son travail, Hannah Arendt insiste continuellement sur l’importance de la division entre le public et le privé. Cependant, bien que la valeur du public soit un thème évident aux oeuvres intellectuelle d’Arendt, la valeur unique du privé vient souvent négligée. Dans cette dissertation, je m’appuie sur les travaux d’Arendt dans The Life of the Mind (La Vie de l’Esprit), en particulier son débat sur l’activité mentale, afin de faire ressortir la richesse dissimulée que le privé a à offrir ainsi que d’explorer ce à quoi cela pourrait ressembler si on s’occupait du privé dans un monde moderne.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.031
Scholarly communication0.0090.012
Open science0.0010.007
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0210.004

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 head0.044
GPT teacher head0.301
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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