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Record W3203897666 · doi:10.1080/00223891.2021.1975725

Clarifying the Content of Intellectual Humility: A Systematic Review and Integrative Framework

2021· review· en· W3203897666 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Personality Assessment · 2021
Typereview
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsUniversity of British ColumbiaLearning Partnership
FundersJohn Templeton Foundation
KeywordsHumilityPsychologyCredibilityEpistemologyEmpirical researchEngineering ethicsLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

During the last decade, intellectual humility has gone from a topic of philosophical inquiry to one of serious scientific investigation. It has been variously described as a remedy for political polarization, a tool for advancing scientific credibility, and a disposition that promotes learning. However, less attention has been paid to how intellectual humility has been defined and measured or how well psychologists' definitions and measures align with one another or with philosophers' accounts. Through a systematic review of empirical intellectual humility research, we identified 18 separate definitions and 20 measures including16 unique questionnaires. We then synthesized this research to advance a new framework of intellectual humility. Implications of this framework for measurement and future research on intellectual humility are discussed.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.178
GPT teacher head0.472
Teacher spread0.294 · 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