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Record W2082193008 · doi:10.2466/28.17.pr0.113x30z5

Titles in Highly Ranked Multidisciplinary Psychology Journals 1966–2011: More Words and Punctuation Marks Allow for the Communication of More Information

2013· article· en· W2082193008 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

VenuePsychological Reports · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPunctuationConcretenessPsychologyCategorizationAffect (linguistics)Word (group theory)Sample (material)LinguisticsCognitive psychologyCommunication

Abstract

fetched live from OpenAlex

Titles of articles in seven highly ranked multidisciplinary psychology journals for every fifth year between 1966 and 2011 (inclusive) were studied in terms of title length, word length, punctuation density, and word pleasantness, activation, and concreteness (assessed by the Dictionary of Affect in Language). Titles grew longer (by three words) and were more frequently punctuated (by one colon or comma for every other article) between 1966 and 2011. This may reflect the increasing complexity of psychology and satisfy readers' requirements for more specific information. There were significant differences among journals (e.g., titles in the Annual Review of Psychology were scored by the Dictionary of Affect as the most pleasant, and those in Psychological Bulletin as the least pleasant) and among categories of journals (e.g., titles in review journals employed longer words than those in research or association journals). Differences were stable across time and were employed to successfully categorize titles from a validation sample.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

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

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 head0.057
GPT teacher head0.345
Teacher spread0.288 · 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