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Record W1797821595

Gaines v. Canada: The First Step in the Journey to Segregation's End

2012· article· en· W1797821595 on OpenAlexaboutno aff
James W. Endersby, William C. Horner

Bibliographic record

VenueSSRN Electronic Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtDoctrineLawPolitical scienceSeparate but equalSociology
DOInot available

Abstract

fetched live from OpenAlex

Gaines ex rel. Missouri v. Canada (1936) was the first case regarding race, education, and equal opportunity decided by the U.S. Supreme Court. The decision was arguably the most significant decision on this important issue until Brown v. Board of Education (1954). The Gaines case was an important step along the long path toward the doctrine that racial segregation is inherently unequal. The paper reviews the legal strategy developed by the NAACP to combat racial segregation and to guarantee equal opportunity. This strategy, implemented by Charles Hamilton Houston, Thurgood Marshall, and other members of the NAACP legal staff, is analyzed from its origins through the initial stages of the Gaines case, as the Supreme Court began to turn away from the “separate but equal” doctrine and the end of legally sanctioned racial segregation became inevitable. The NAACP began its fight for equality in higher education – specifically in graduate and professional education – with the case of Thomas Hocutt, a resident of Durham, North Carolina, who sued for admission to the University of North Carolina’s College of Pharmacy. At the direction of Charles Hamilton Houston, the head of the NAACP’s legal team, the 2 organization’s lead attorney in the case was William Hastie.3 Hastie was Charles Houston’s cousin and, like Houston, Hastie attended Harvard Law School and, also like Houston, was later the Dean of the Howard University law school. Later, in 1949, Hastie would be appointed as the first black federal judge by President Harry Truman, and he served in the U.S. Third Circuit Court of Appeals from 1949 to 1971.4 Thomas Hocutt lost his case at trial and the NAACP was forced to drop the case for appellate action when James Shepard, the president of the black college Hocutt attended for his bachelor’s degree, the North Carolina College for Negroes, refused to release Hocutt’s college transcript, which was required for admission to the graduate program at the University of North Carolina.5 Since much of the NAACP’s strategy was based on finding students were eminently qualified for the programs for which the applied – save for their ethnic background – denial of access to documents that would prove Hocutt’s suitability for the pharmacy school did tremendous damage to the case. However, the Hocutt case is noteworthy for its groundbreaking nature. It was not long before the NAACP was pursuing similar cases aimed at opening the gates of the highest level of education in the United States. This paper presents an examination of the roots of the NAACP’s strategy in attacking segregated education, as articulated by attorney Nathan Margold, and the reasons why it chose, under the leadership of Charles Houston, to begin with graduate and professional education. The paper introduces the NAACP’s pursuit of what would become the U.S. Supreme Court’s decision of Gaines v. Canada.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.129
Threshold uncertainty score0.934

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0390.016
Scholarly communication0.0140.005
Open science0.0020.007
Research integrity0.0090.016
Insufficient payload (model declined to judge)0.0070.001

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 head0.013
GPT teacher head0.264
Teacher spread0.251 · 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 designQualitative
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

Citations0
Published2012
Admission routes1
Has abstractyes

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