Working Paper 106 - Does Human Capital Protect Workers against Exogenous Shocks? South Africa in the 2008 - 2009 Crisis
Bibliographic record
Abstract
The financial and economic crisis of 2008and 2009 has taken its toll on the SouthAfrican economy. The economy contractedfor the first time since 1998, and enteredrecession during the fourth quarter of 2008.The GDP contraction was soon transmittedto the labor market. Between the secondquarters of 2008 and 2009, employment fellby 3.8 percent. However, not all individualswere hit with the same intensity. Using laborforce survey data unique in the Africancontext, we find that human capital provideda buffer against the shock. After controllingfor observable characteristics, education andexperience showed the potential to entirelyoffset the effect of the recession on thelikelihood of employment. This has importantpolicy implications, as it strengthens thecase for strategic investments in humancapital, and helps identifying the unskilled asthose with the highest need for social safetynet interventions during the recession.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".