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Record W2024368984 · doi:10.1163/15685373-12342117

Psychological Essentialism in Selecting the 14th Dalai Lama: An Alternative Account

2014· article· en· W2024368984 on OpenAlexaff
Claire White, Paulo Sousa, Renatas Berniûnas

Bibliographic record

VenueJournal of Cognition and Culture · 2014
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsQueen's University
Fundersnot available
KeywordsLamaEssentialismPhilosophy of mindPhilosophyEpistemologyPsychologyMetaphysicsPsychiatry

Abstract

fetched live from OpenAlex

common-sense psychological essentialism as applied to objects could explain the selection process for the 14 th Dalai Lama in Tibet. Specifically, they argued that Tibetan bureaucrats represent the Dalai Lama’s personal objects as imbued with his essence. Because of this, they claimed, Tibetan bureaucrats test whether candidates are the reincarnation of the Dalai Lama based on whether the candidates can correctly identify, from a number of items, the one that belonged to the 13 th Dalai Lama. In this article, we draw on knowledge of the Tibetan Buddhist selection process to argue that Bloom and Gelman have overlooked the important role that the continuity of personal memories plays in the process of selecting the Dalai Lama. Finally, we propose that assumptions about the continuity of qualities for persons, rather than objects, drive the selection procedures. In our view, Bloom and Gelman’s claim that continued memory does not play a role in the object-identification task because some of the items are identical is not warranted. First, though some of the objects may appear to be identical to ordinary folk, they are not assumed to be identical to the Dalai Lama, who is supposed to have intimate familiarity with those he owned and this is exactly the point of the task. Second, when candidates are asked to identify

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.354

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.068
GPT teacher head0.401
Teacher spread0.333 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2014
Admission routes1
Has abstractyes

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