MétaCan
Menu
Back to cohort
Record W1971326123 · doi:10.1177/1754073913477506

Dodging Monsters and Dancing with Dreams: Success and Failure at Different Levels of Approach and Avoidance

2013· article· en· W1971326123 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

VenueEmotion Review · 2013
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRegulatory focus theoryPromotion (chess)HierarchyFocus (optics)PsychologyGoal pursuitSocial psychologyCognitive psychologyPolitical science

Abstract

fetched live from OpenAlex

Many models of motivation suggest that goals can be arranged in a hierarchy, ranging from higher-level goals that represent desired end-states to lower-level means that operate in the service of those goals. We present a hierarchical model that distinguishes between three levels—goals, strategies, and tactics—and between approach/avoidance and regulatory focus motivations at different levels. We focus our discussion on how this hierarchical framework sheds light on the different ways that success and failure are defined within the promotion and prevention systems outlined in regulatory focus theory. Specifically, we review research that demonstrates that differences in what “counts” as success versus failure in these systems have important implications for motivational strength, emotional responses, and risky behavior.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score0.372

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)0.0000.000

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 head0.046
GPT teacher head0.333
Teacher spread0.287 · 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