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Record W2118977515 · doi:10.1177/1090198105277329

A Systematic Review of Readability and Comprehension Instruments Used for Print and Web-Based Cancer Information

2006· review· en· W2118977515 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

VenueHealth Education & Behavior · 2006
Typereview
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsReadabilityComprehensionHealth literacyReading comprehensionThe InternetGrade levelComputer scienceReading (process)MultimediaWorld Wide WebMedicinePsychologyHealth careMathematics educationLinguistics

Abstract

fetched live from OpenAlex

Adequate functional literacy skills positively influence individuals' ability to take control of their health. Print and Web-based cancer information is often written at difficult reading levels. This systematic review evaluates readability instruments (FRE, F-K, Fog, SMOG, Fry) used to assess print and Web-based cancer information and word recognition and comprehension tests (Cloze, REALM, TOFHLA, WRAT) that measure people's health literacy. Articles on readability and comprehension instruments explicitly used for cancer information were assembled by searching MEDLINE and Psyc INFO from 1993 to 2003. In all, 23 studies were included; 16 on readability, 6 on comprehension, and 1 on readability and comprehension. Of the readability investigations, 14 focused on print materials, and 2 assessed Internet information. Comprehension and word recognition measures were not applied to Web-based information. None of the formulas were designed to determine the effects of visuals or design factors that could influence readability and comprehension of cancer education information.

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 categoriesMeta-epidemiology (narrow)
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 score0.462
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.115
GPT teacher head0.538
Teacher spread0.423 · 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