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Record W2139122420 · doi:10.1111/1467-9647.00091

Reading in Colors: Highlighting for Active Reading in Religious Studies

2001· article· en· W2139122420 on OpenAlex
Steven Engler, Benjamin L. Berger

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

VenueTeaching Theology & Religion · 2001
Typearticle
Languageen
FieldPsychology
TopicEducational Strategies and Epistemologies
Canadian institutionsUniversity of VictoriaRoyal College of Physicians and Surgeons of CanadaMount Royal University
Fundersnot available
KeywordsReading (process)GRASPPhraseComputer sciencesortTerm (time)MonochromeProcess (computing)Mathematics educationLinguisticsPsychologyArtificial intelligenceInformation retrieval

Abstract

fetched live from OpenAlex

This note from the classroom suggests that multicolor highlighting is a useful study technique for religious studies students. The note first reviews the literature regarding the effectiveness of traditional highlighting, then discusses advantages of the modified technique. Monochrome highlighting works only if readers select text through a discriminating reading process. Reading in colors fosters this sort of active reading. It prompts readers to ask how and why a given term, phrase or passage is important. This technique can help students grasp the basic categories and concepts of the discipline and it can embody course requirements or learning outcomes. The note concludes with practical suggestions for using the technique in the classroom.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.390
Teacher spread0.342 · 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