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Record W4233321590 · doi:10.1002/9781118970843.ch223

Learned Helplessness

2020· other· en· W4233321590 on OpenAlexaff
Harriet Winterflood, Emma A. Climie

Bibliographic record

VenueThe Wiley Encyclopedia of Personality and Individual Differences · 2020
Typeother
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLearned helplessnessPsychologyAnxietyDepression (economics)CognitionClinical psychologySchizophrenia (object-oriented programming)PsychotherapistDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Learned helplessness is a behavioral response that occurs when individuals realize that the outcomes following a response are uncontrollable. There are three major components of learned helplessness: motivational, emotional, and cognitive. Learned helplessness can have an impact on one's overall functioning, including affecting academic achievement, physical health, mental health, and social well-being. Learned helplessness is also associated with a variety of psychological disorders. It is a central model of depression and it can exacerbate the negative symptoms of many disorders, including anxiety, depression, PTSD, and schizophrenia. Pharmacological treatments and cognitive therapy are successful methods used to help overcome learned helplessness.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.428
Threshold uncertainty score0.993

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)0.0080.000

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 head0.055
GPT teacher head0.288
Teacher spread0.233 · 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.

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

Citations1
Published2020
Admission routes1
Has abstractyes

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