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Record W4389986811 · doi:10.1093/pq/pqad116

Imagining Out of Hope

2023· article· en· W4389986811 on OpenAlexaff
Steve Humbert‐Droz, Juliette Vazard

Bibliographic record

VenueThe Philosophical Quarterly · 2023
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWishful thinkingValue (mathematics)EpistemologyElement (criminal law)SociologyAestheticsPhilosophyPsychologySocial psychologyComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract Both lay people and philosophers assume that hoping for something implies imagining it. According to contemporary philosophical accounts of hope, hope involves an element of imagination as input, part, or output of hope. However, there is no systematic view of the interaction between hope and the different processes constituting imagination. In this paper we put forward a view of (i) the kind of imaginings typically triggered by hopeful states, (ii) the nature of the interaction between hope and hopeful imaginings, and (iii) the epistemic value of imagining out of hope. We argue that a paradigmatic output of hope is an immersive kind of cognitive imagination. Additionally, justified hopes constrain our immersive imaginings in such a way as to provide them with a specific epistemic value. Hopeful imaginings are not mere fantasies or wishful thinking; they constitute valuable experiences we can learn from and rely on in planning our future.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.015
Scholarly communication0.0030.004
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.039
GPT teacher head0.328
Teacher spread0.289 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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