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Record W2023776254 · doi:10.1080/09084280701719211

The Flynn Effect Revisited

2007· review· en· W2023776254 on OpenAlex
Elbert W. Russell

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

VenueApplied Neuropsychology · 2007
Typereview
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsPsychologyWechsler Adult Intelligence ScalePlateau (mathematics)Intelligence quotientBorderline intellectual functioningDevelopmental psychologyCognitionPsychiatryMathematics

Abstract

fetched live from OpenAlex

The Flynn Effect postulates that intelligence is increasing over time. However, as an environment becomes optimal, a plateau occurs when general growth becomes largely determined by genetics. There is evidence that such a plateau is occurring for intelligence in countries with optimal social environments. In the United States, examination of adult Wechsler test scores between normings indicates a reduction of the FSIQ increase such that average FSIQ would plateau about 2024. However, the WAIS-III norming process eliminates many types of subjects with possible brain impairment. This probably raises the average FSIQ level. With an increase of only 1 FSIQ point in 16 years, a plateau in the Flynn Effect would have been reached in 2004.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.006

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 head0.083
GPT teacher head0.418
Teacher spread0.335 · 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