Social identity mediates the positive effect of globalization on individual cooperation: Results from international experiments
Bibliographic record
Abstract
Globalization is defined for individuals as their connectivity in global networks. Social identity \nis conceptualized as attachment and identification with a group. We measure individual \ninvolvement with global networks and local, national, and global social identity through a \nquestionnaire. Propensity to cooperate is measured in experiments involving local and global \nothers. Firstly, we analyze possible determinants of global social identity. Overall, attachment \nto global identity is significantly lower than national and local identity, but there is a significant \npositive correlation between global social identity and an index of individual global connectivity. Secondly, we find a significant mediating effect of global social identity between individual \nglobal connectivity and propensity to cooperate at the global level. This is consistent with a \ncosmopolitan hypothesis of how participation in global networks reshapes social identity: \nIncreased participation in global networks increases global social identity and this in turn \nincreases propensity to cooperate with others. We also show that this model receives more \nsupport than alternative models substituting either propensity to associate with others or general generosity for individual global connectivity. We further demonstrate that more globalized \nindividuals do not reduce contributions to local accounts while increasing contributions to \nglobal accounts, but rather are overall more generous. Finally, we find that the effect of global \nsocial identity on cooperation is significantly stronger in countries at a relatively low stage of \nglobalization, compared to more globalized countries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".