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Intelligence Quotient

2010· other· en· W4256514660 on OpenAlexaff
Todd A. Girard

Bibliographic record

VenueThe Corsini Encyclopedia of Psychology · 2010
Typeother
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsConstruct (python library)Intelligence quotientHuman intelligencePsychologyTest (biology)Task (project management)QuotientCognitionCognitive psychologyMeasure (data warehouse)Intellectual abilityConstruct validityArtificial intelligenceComputer scienceDevelopmental psychologyPsychometricsMathematicsData mining

Abstract

fetched live from OpenAlex

Abstract What is an intelligence quotient (IQ)? Intelligence is a theoretical construct with many definitions. The definition is further complicated by the belief of many that there are multiple types of intelligence. The IQ forms the most common operational definition as a cognitive and behavioral measure of global intellectual capability. Like intelligence, the IQ is best viewed as a multifaceted construct, but one that can be quantified by summing scores across tasks or subtests that comprise an intelligence test. In this way, the IQ is traditionally considered an index of Spearman's g , a general ability factor reflecting that how a person performs one task is likely similar to how well they score on others.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0810.008

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 head0.035
GPT teacher head0.372
Teacher spread0.338 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2010
Admission routes1
Has abstractyes

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