MétaCan
Menu
Back to cohort
Record W4221004633 · doi:10.1007/s43076-022-00168-5

International Capacity Building in Psychological Science: Reflections on Student Involvement and Endeavors

2022· article· en· W4221004633 on OpenAlexaff
Daniel Balva, Daniel Thomas Page, Fanie Collardeau, Julio Andrés Gómez Henao, Ana Lorena Flores-Camacho

Bibliographic record

VenueTrends in Psychology · 2022
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPsychological scienceCapacity buildingPsychologyEngineering ethicsMathematics educationPedagogySociologyPolitical scienceEngineeringSocial psychology

Abstract

fetched live from OpenAlex

Internationalization in psychology provides unique opportunities for students worldwide and promises to build a more inclusive, representative, and culturally sensitive discipline. Far from passive recipients of the internationalization process, students are actively involved in promoting opportunities for cross-cultural collaborations, international learning, and the creation of international networks. This paper reviews opportunities for student involvement in internationalization related efforts in psychology. Students' roles within international and regional psychology organizations are explored to highlight the unique contributions and opportunities afforded by more independent and fully student-led organizations and initiatives. This paper discusses the barriers to establishing student-led organizations and to student involvement in international endeavors, including power imbalances, language barriers, and disparities in students' ability to access financial resources and mentorship depending on their geographical location. Recommendations are offered, to both students and professional members, to foster student contributions to the internationalization of psychology and support the creation of sustainable student-led international organizations.

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)0.028
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.029
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0160.029
Scholarly communication0.0210.014
Open science0.0020.025
Research integrity0.0050.015
Insufficient payload (model declined to judge)0.0050.000

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 head0.295
GPT teacher head0.548
Teacher spread0.253 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueTrends in PsychologySame topicCultural Differences and ValuesFrench-language works237,207