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Record W2158286611

Buyers' Remorse? An Empirical Assessment of the Desirability of a Legal Career

2013· article· en· W2158286611 on OpenAlexaff
Ronit Dinovitzer, Bryant G. Garth, Joyce S. Sterling

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEliteRemorseOptimismDebtLegal educationPsychologyAmbivalenceLawPolitical scienceSocial psychologyBusinessFinance
DOInot available

Abstract

fetched live from OpenAlex

The literature attacking the value of legal education relies as a rule on the idea that individuals attend non-elite law schools because of optimism bias -- thinking they will get the lucrative corporate jobs deemed necessary to pay off educational debt. They presumably would then get buyers' remorse when their optimism proves unjustified. Drawing on the first two waves of the only longitudinal data on lawyer careers, the After the J.D. Study, the authors examine whether those who began their careers in the year 2000 -- with substantial debt even if not as high as today's graduates -- showed evidence of buyers' remorse about their decision to get a law degree. The evidence indicates that law graduates beyond the most elite were able to pay down their debt at the same rate or better than most elite law graduates. In addition, after seven years of practice the great majority of these lawyers were still satisfied with their decision to become lawyers. In fact, there is no statistically significant difference in reported satisfaction with the decision to become a lawyer when we compare graduates from the higher and lower ranked law schools. And while there is some suggestion that lawyers who reported still owing more than $100,000 after seven years of practice were either ambivalent or dissatisfied with their decision to invest in a legal career, multivariate models show that percent of debt remaining seven-eight years into one's career has no significant relationship with career satisfaction. Thus, in contrast to the dominant story, most respondents irrespective of debt are extremely or moderately satisfied with their decision to become a lawyer. There is no indication in our data that these law graduates feel they made a mistake by choosing to go to law school. The data also show that those most likely to favor eliminating the third year of law school were elite law graduates and attorneys in large corporate law firms -- again a contrast to the dominant story.

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)0.022
metaresearch head score (Gemma)0.108
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 score0.022
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.108
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.004
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.051
GPT teacher head0.413
Teacher spread0.362 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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