MétaCan
Menu
Back to cohort
Record W815800576 · doi:10.13016/m2b014

ESSEYS ON HISTORY, CULTURE AND ECONOMIC OUTCOMES

2014· dissertation· en· W815800576 on OpenAlexaboutno aff
Matija Jancec

Bibliographic record

VenueDigital Repository at the University of Maryland (University of Maryland College Park) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryGeography

Abstract

fetched live from OpenAlex

In the last decade, there has been a newfound interest within economics in culture, its effects on economic outcomes, and its historical determinants. Although significant progress has been made, there are still many large questions that remain unanswered. My dissertation addresses two of those, namely the effect of history on current levels of trust in political institutions and the twofold relationship between culture and economic outcomes. My first chapter examines the effect of historical changes in political borders on current citizens' levels of trust in political institutions. Political trust also depends on current political institutions, so that a straightforward cross-country analysis would not be able to disentangle the effect of history from the effect of institutions. To address this problem, I compare regions that are part of the same country today and therefore share the same political institutions, but have had a different number of border changes in the past. I study six countries that have such within-country variation in border changes--Slovenia, Croatia, Serbia, Montenegro, Romania and Ukraine. Using data for five hundred years of border changes and three contemporary household-level surveys, I show that more frequent border changes in the past lead to lower current trust in political institutions. The estimated effect is large: border changes can explain 45% of the observed average difference in household-level political trust between the countries studied in my paper and the UK, which has enjoyed stable borders. The second chapter examines immigrants' socio-economic outcomes. I use the variation in cultural distance between immigrants' birth and host countries to estimate the cost of adapting to a new cultural milieu. Using individual level data on immigrants from Europe, Canada and the US, I find that a increase of one standard deviation in the cultural distance between an immigrant's birth and host countries decreases the immigrant's expected earnings by 7.2% and has negative effect on numerous immigrants' social outcomes as well. As predicted by my model, the effect of cultural distance is the strongest for immigrants who arrived recently, and who immigrated at an older age.

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)0.002
metaresearch head score (Gemma)0.011
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.007
GPT teacher head0.183
Teacher spread0.176 · 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
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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository at the University of Maryland (University of Maryland College Park)Same topicCulture, Economy, and Development StudiesFrench-language works237,207