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Record W2079804435 · doi:10.2190/w6tj-4kkb-856f-03vu

Phenomenological and Quantitative Analyses of Absorption in Literary Passages

2001· article· en· W2079804435 on OpenAlexaff
Ingrid K. Braun, Gerald C. Cupchik

Bibliographic record

VenueEmpirical Studies of the Arts · 2001
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsPsychologyPhenomenology (philosophy)TemporalityExperiential learningReading (process)Perspective (graphical)PerceptionAbsorption (acoustics)Social psychologyDevelopmental psychologyCognitive psychologyLinguisticsEpistemologyPedagogyVisual artsArt

Abstract

fetched live from OpenAlex

The phenomenology of reader absorption was investigated using quantitative and qualitative measures. The 12 male and 12 female participants ranged in age between 19 and 53. There were two parts to the study that were counterbalanced across participants. In one part, they read two excerpted literary passages contrasting emotional and descriptive styles of writing and rated them on an 11-item questionnaire. In another part, they were interviewed regarding the general experience of being absorbed in a book and about a specific absorbing text of their choice. Phenomenological analysis of interview data revealed experiential properties (corporeality, sensory perceptions, spatiality, temporality, and agency) and underlying processes (e.g., reader's perspective, attention, familiarity with situation) that shaped the reading activity. Factor analyses of the verbal rating scales and of the frequency tables for properties and processes both contrasted empathetic and sympathetic reading modes. These were also revealed in close (i.e., spontaneous and experiential) and far (i.e., purposeful and inferential) reader orientations which appear to have reflected individual differences in reading styles. The pedagogical implications of the findings are also 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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.177

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 head0.268
GPT teacher head0.481
Teacher spread0.213 · 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

Citations36
Published2001
Admission routes1
Has abstractyes

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