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Record W6982134172

Have you heard that...? Developmental trajectories and psychological variables associated with relational aggression and gossip

2014· dissertation· en· W6982134172 on OpenAlexaffabout

Bibliographic record

VenueeScholarship@McGill (McGill) · 2014
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicDate Palm Research Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsAggressionAttributionAssociation (psychology)GossipSocial information processingCognitionSocial cognitionTheory of mindAffect (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Traditional definitions of aggressive behaviours have emphasized acts of physical and verbal aggression.By labelling behaviours such as gossip, manipulation or social isolation as aggressive acts, the traditional definition of aggression has been challenged and expanded.Consequently, relational aggression has emerged as a prolific field of study.In this context, "Many years later, in front of the firing squad, colonel Aureliano Buenda would remember that distant afternoon his father took him to see ice." Gabriel Garcia Marquez, One Hundred Years of SolitudeNow that this journey is approaching to an end, it is inevitable to remember the day when all this began.As Colonel Buendia remembered when he almost faced the end of his life, I can vividly recall all the excitement, fear, anxiety, joy and hope that I felt the first time I was at McGill.Also, I keep in my memory appreciation for all the persons who accompanied me during this long path.First and foremost, I would like to thank my supervisor Victoria Talwar.She believed in me from the very first time we met and always encouraged me to do my best and to excel in all my responsibilities.I found in Victoria a model to follow: I learned not only from your academic and research strengths, but also from your kindness, generosity and humanity.Thank you!I really appreciate our relationship and look forward to many years of continued collaboration.Doomsday-list is a word that will keep haunting me the rest of my life!Also, I want to extend my gratitude to Nancy Heath and Shaheen Shariff, who provided feedback and insights to help

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.048
GPT teacher head0.264
Teacher spread0.216 · 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 designObservational
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
Published2014
Admission routes2
Has abstractyes

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