MétaCan
Menu
Back to cohort
Record W4409474209 · doi:10.1111/jora.70024

Should parents apologize to their adolescents to mend their parent–adolescent relationship? A multi‐method, multi‐phase investigation

2025· article· en· W4409474209 on OpenAlexafffund
Jean‐Michel Robichaud, Karina Schumann, Hali Kil, Richard Koestner, Geneviève A. Mageau

Bibliographic record

VenueJournal of Research on Adolescence · 2025
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsMcGill UniversityUniversité de MontréalSimon Fraser UniversityUniversité de Moncton
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyForgivenessInterpersonal communicationDevelopmental psychologySocial psychologyPerceptionInterpersonal relationship

Abstract

fetched live from OpenAlex

Apologies following interpersonal offenses tend to mend relationships, but the role of parental apologies in the parent-adolescent relationship is understudied. Further, parental apologies may have diametrical effects on the parent-adolescent relationship depending on their phrasing. In this three-phase study, we recruited 288 adolescents to assess the role of perceived (phase 1), coded (phase 2), and manipulated (phase 3) parental victim-centered and defensive apologies in the parent-adolescent relationship (i.e., adolescent forgiveness, relationship satisfaction, and perceptions of parental authority). Results from all three phases converged to suggest that victim-centered apologies predict greater forgiveness, more autonomous and less controlled motivations to forgive, and higher relationship satisfaction, compared to defensive apologies or no apologies. We found limited associations between parental apologies and parental authority.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.355
GPT teacher head0.548
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Research on AdolescenceSame topicForgiveness and Related BehaviorsFrench-language works237,207