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Record W3045522112 · doi:10.4102/ve.v41i1.2084

Blindness: physical or spiritual? An attempt at an interdisciplinary analysis

2020· article· en· W3045522112 on OpenAlexaff
Adam Rybicki, Andrzej Jastrzębski, Monika McNeill

Bibliographic record

VenueVerbum et Ecclesia · 2020
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsPerceptionBlindnessFace (sociological concept)Interpretation (philosophy)PhenomenonEpistemologyEmpirical researchPsychologySociologyPhilosophySocial scienceMedicine

Abstract

fetched live from OpenAlex

This article focuses on the issue of the weakness of human perception, which raises questions about the reasons for not recognising certain people and the mistakes related to such, at the level of both the physical and spiritual senses. The main issue here is why we do not recognise the face and figure of another person. One of the classic examples of this phenomenon is the meeting of Jesus with his disciples on the road to Emmaus (Lk 24:13–35), where first Jesus is inexplicably unnoticed by the disciples, and then unrecognised. We attempt an interdisciplinary analysis of this event. Theological interpretations of the causes of this disability (e.g. as the effects of original sin) are insufficient, which is why they are supplemented with philosophical and anthropological interpretations, as well as contemporary empirical research on facial recognition conducted in the area of psychology. The article arrives at the conclusion that the results of the research on the defects in the mechanisms of perception found by psychologists, and a philosophical, as well as theological, analysis of human nature and theology do not contradict each other, but rather create a more complex (exhaustive) answer to the question posed. Intradisciplinary and/or interdisciplinary implications: A strictly theological interpretation of human behaviour stems from original sin in that it has damaged human nature by constricting its cognitive abilities. This article goes beyond such a restrictive approach in exploring this absence of vision by including both the philosophical and empirical approaches used in psychology.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.146
GPT teacher head0.406
Teacher spread0.260 · 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 designBench or experimental
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

Citations1
Published2020
Admission routes1
Has abstractyes

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