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Record W7116110308 · doi:10.17632/sny93fdbtd

CEN-CE

2025· dataset· W7116110308 on OpenAlexaboutno aff

Bibliographic record

VenueMendeley Data · 2025
Typedataset
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsInterpersonal Reactivity IndexAlexithymiaCognitionNeglectAnxietyEmpathyInterpersonal communicationAttachment theory

Abstract

fetched live from OpenAlex

Data were collected from 659 Chinese university students (aged 17–23) using validated Chinese versions of the Childhood Trauma Questionnaire-Short Form (CTQ-SF), Experiences in Close Relationships inventory (ECR), Toronto Alexithymia Scale (TAS-20), and Interpersonal Reactivity Index (IRI-C) to assess childhood emotional neglect(CEN), attachment anxiety(AA), alexithymia(AL), and cognitive empathy(CE), respectively. We propose four sequentially progressive hypotheses: childhood emotional neglect directly impairs cognitive empathy; this relationship is mediated by individual attachment anxiety; it is also mediated by alexithymia; crucially, attachment anxiety and alexithymia constitute a sequential mediating pathway, whereby childhood emotional neglect first leads to heightened attachment anxiety, which in turn exacerbates an individual's alexithymia, ultimately significantly impairing their cognitive empathy capacity.

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0390.053
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0260.084

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 head0.090
GPT teacher head0.362
Teacher spread0.272 · 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
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

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