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Record W36714376 · doi:10.1007/s10826-022-02519-3

Research on the referring expressions in English news headlines

2009· article· en· W36714376 on OpenAlexfundno aff
Cheng Cheng

Bibliographic record

Venue美中外语 · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
FundersFonds de Recherche du Québec-Société et CultureCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsLinguisticsHistoryNatural language processingComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Although parent-adolescent and peer-adolescent relationship quality are critical for adolescent wellbeing during typical stressful life events, the unique features of the COVID-19 pandemic put into question whether strong parent-adolescent and peer-adolescent relationship quality functioned as protective factors of adolescent mental health in this context. The current longitudinal study examined a community sample of adolescents across 3 time points, each 6 months apart (Time 1: Fall, 2019; <i>n</i> = 163, 50.9% male; mean age = 15.75 years, SD = 1.02). Results showed that increases in depression symptoms, perceived stress, and emotion dysregulation from Fall 2019 to Fall 2020 were predicted by changes in parent, but not peer relationship quality. The current study demonstrates that adolescent-parent relationship quality may be protective against mental health difficulties during the COVID-19 pandemic, while adolescent-peer relationship quality may not. Identifying protective factors that may play a role in mitigating the impact of the pandemic, and other such widespread health crises, on youth mental health is critical in reducing the long-term psychological harm of the viral outbreak, as well as promoting adolescent wellbeing and resilience.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.821

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.398
GPT teacher head0.426
Teacher spread0.028 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2009
Admission routes1
Has abstractyes

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