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Record W1921791646 · doi:10.47678/cjhe.v32i3.183418

Stumped by Headlines: Investigating a Functional Knowledge Deficit

2002· article· en· W1921791646 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Higher Education · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsIgnoranceNexus (standard)NewspaperReading (process)Scale (ratio)PsychologyKnowledge economyPositive economicsEpistemologySociologyPolitical scienceKnowledge managementComputer scienceEconomicsMedia studiesLaw

Abstract

fetched live from OpenAlex

Competing claims about the level of ignorance, or knowledge, among the current Nexus generation are addressed. The core of the paper is a theoretical analysis of ignorance in the knowledge society. Specifically, the knowledge-ignorance paradox suggests that the intense specialization demanded by a knowledge economy militates against a broader information society and gives rise to "reading reluctance." To provide evidence for this analysis, the results of a small-scale study testing the idea of a "functional knowledge deficit" are presented. Students were asked to identify metaphorical terms that are commonly used without definition in newspaper captions. The results revealed that students could only identify about 30% of these common expressions, and that they did not do better with terms derived from computers or the popular culture. Significant differences were also found between male and female responses. Both the implications of the findings and further avenues of research are 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.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.071
GPT teacher head0.314
Teacher spread0.243 · 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