Federal Court Nullifies Department of Government Efficiency's Revocation of Humanities Grants
聯邦法院廢止政府效率部撤銷人文學科撥款之決定
Introduction
A New York federal judge has ruled that the Trump administration's cancellation of over $100 million in National Endowment for the Humanities (NEH) grants was unconstitutional.
一名紐約聯邦法官裁定，川普政府取消超過 1 億美元國家人文學科基金會 (NEH) 撥款的行為違憲。
Main Body
The judicial determination by U.S. District Judge Colleen McMahon establishes that the Department of Government Efficiency (DOGE) exceeded its lawful authority in the termination of more than 1,400 grants. The court found that the administration violated the First Amendment's prohibition against viewpoint discrimination and the Fifth Amendment's equal protection clause. This legal challenge was initiated by a coalition including The Authors Guild and various academic associations, who contended that the executive actions undermined the statutory mission of the NEH.
美國地方法官 Colleen McMahon 的司法裁定確立了政府效率部 (DOGE) 在終止超過 1,400 筆撥款時，超越了其法定權限。法院發現，政府違反了第一修正案中關於禁止觀點歧視的規定，以及第五修正案的平等保護條款。此次法律挑戰是由包括作家公會及多個學術協會在內的聯盟發起，他們主張行政行為損害了 NEH 的法定使命。
Evidence presented during the proceedings revealed that DOGE personnel, specifically Justin Fox and Nate Cavanaugh, utilized an automated process to identify grants for elimination. This methodology involved the deployment of ChatGPT to scan grant descriptions for associations with diversity, equity, and inclusion (DEI). Furthermore, 'detection codes'—keyword filters targeting protected characteristics such as race, religion, and sexual orientation—were employed to categorize projects as 'wasteful.' The court noted that this process lacked the rigor of standard NEH review procedures and resulted in the disproportionate targeting of grants awarded during the preceding administration.
訴訟過程中提出的證據顯示，DOGE 人員，特別是 Justin Fox 和 Nate Cavanaugh，利用自動化程序來識別需予以取消的撥款。該方法包括部署 ChatGPT 來掃描撥款描述，以查找與多元、平等與包容 (DEI) 相關的內容。此外，他們還使用了「偵測代碼」——即針對種族、宗教及性傾向等受保護特徵的關鍵字篩選——將項目歸類為「浪費」。法院指出，此過程缺乏標準 NEH 審查程序的嚴謹性，導致前任政府期間核定的撥款被不成比例地針對。
In response to the government's defense, the court rejected the assertion that the use of artificial intelligence absolved the administration of constitutional liability. Judge McMahon maintained that the selection of ChatGPT as an operational instrument does not grant the executive branch immunity from the requirement to adhere to constitutional constraints. The ruling emphasizes that while an administration may redefine funding priorities, such shifts cannot be predicated upon the suppression of specific ideological perspectives or the disqualification of subjects based on protected characteristics.
針對政府的辯護，法院否認了使用人工智慧可免除政府憲法責任的主張。McMahon 法官堅持認為，選擇 ChatGPT 作為操作工具，並不賦予行政部門免於遵守憲法限制的豁免權。裁定強調，雖然政府可以重新定義撥款優先順序，但此類變更不能基於壓制特定的意識形態觀點，或根據受保護特徵來取消資格。
Conclusion
The court has permanently barred the administration from terminating the grants, effectively restoring the funding for the affected scholars and institutions.
法院已永久禁止政府終止這些撥款，有效地恢復了受影響學者與機構的資金。
Vocabulary Learning
The Architecture of Institutional Detachment
To transition from B2 to C2, a student must move beyond describing an action and begin encoding it through nominalization and legalistic abstraction. The provided text is a masterclass in shifting the focus from the actor (the person) to the process (the mechanism).
◈ The Pivot: From Verb to Noun
Observe how the text avoids simple narrative verbs in favor of complex noun phrases. This is the hallmark of high-level administrative and judicial English.
- B2 Approach: "The judge decided that the administration didn't have the power to stop the grants."
- C2 Execution: "The judicial determination... establishes that the [Department] exceeded its lawful authority in the termination of... grants."
The Shift: Instead of "The judge decided" (Subject Verb), we have "The judicial determination establishes" (Abstract Concept Verb). This removes personal agency and replaces it with institutional weight.
◈ Semantic Precision: The "Lexical Wedge"
C2 mastery requires the use of words that carry specific legal or systemic implications. Note the precision of these terms:
- Predicated upon: (Instead of based on). This suggests a logical or formal foundation, often used when arguing that a premise is flawed.
- Absolved of liability: (Instead of not responsible for). This is a specialized colocation that refers specifically to the removal of legal obligation.
- Statutory mission: (Instead of the goal of the law). "Statutory" defines the origin of the mission as being written into law (a statute), not just a general preference.
◈ Syntactic Sophistication: The "Constraint Clause"
Look at the sentence: "...selection of ChatGPT as an operational instrument does not grant the executive branch immunity from the requirement to adhere to constitutional constraints."
Analysis: This is a sophisticated "Double Negative" logic structure. It doesn't say "they must follow the law"; it says the tool does not grant immunity from the requirement. This creates a layer of formality that emphasizes the inevitability of the law over the novelty of the technology.
Stop focusing on who did what. Start focusing on what process led to which outcome. Replace active narrative verbs with heavy, multi-syllabic nouns (Nominalization) and anchor your arguments in precise, domain-specific terminology.