Claiming Martin Luther King, Jr. for the right: The Martin Luther King Day holiday in the Reagan era
Bibliographic record
Abstract
The article traces how American conservatives laid claim to the memory of Martin Luther King, Jr. We focus on a key moment in that process, when Republicans in the early 1980s battled other Republicans to establish King’s birthday as a federal holiday and thereby distinguish a conservative position on racial inequality from that associated with southern opposition to civil rights. The victory was consequential, aiding the New Right’s efforts to roll back gains on affirmative action and other race-conscious policies. We use the case to explore the conditions in which political actors are able to lay claim to venerated historical figures who actually had very different beliefs and commitments. The prior popularization of the figure makes it politically advantageous to identify with his or her legacy but also makes it possible to do so credibly. As they are popularized, the figure’s beliefs are made general, abstract, and often vague in a way that lends them to appropriation by those on the other side of partisan lines. Such appropriation is further aided by access to a communicative infrastructure of foundations, think tanks, and media outlets that allows political actors to secure an audience for their reinterpretation of the past.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.018 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".