Vicki A. Spencer, Herder’s Political Thought: A Study of Language, Culture, and Community. Toronto: Toronto UP, 2012. xi + 354 pp.
Bibliographic record
Abstract
Vicki Spencer's Herder's Political Thought represents a moment of consolidation in Anglo-American Herder scholarship. Long a neglected figure in Anglo- American philosophical discussion, Herder came to notice largely in the context of political philosophy and through the work of Isaiah Berlin, who in 1965 presented Herder as an anti-Enlightenment thinker who championed the claims of particularity and cultural difference against abstract, universalizing, hegemonic claims of reason ( Three Critics of Enlightenment , Princeton UP, 2013). Berlin's interpretation prompted both interest in Herder among political philosophers who were looking for alternatives to Enlightenment universalist liberalism and backlash among Herder scholars. Scholars like Robert Norton (1991) and Sankar Muthu (2003) have decisively argued, against Berlin, that Herder should be understood as part of the Enlightenment (which itself has come to be seen as a more complex phenomenon): Herder is no relativist, either historical or cultural, but a cosmopolitan, a defender of individual and national liberty. Spencer intervenes in—indeed, synthesizes and thereby progresses beyond—this debate by articulating the way in which both sides are correct. Berlin's critics are correct that Herder is a cosmopolitan and is no irrationalist or relativist. Taken in a suitably modified form, Berlin's claims are also correct, however: within a (broadly) liberal, Enlightenment political project, Herder's particular contribution is his appreciation for particularity or cultural difference or, as Spencer puts it, his recognition that “the elimination of cultural oppression [is] a fundamental issue of justice” (219). Herder is, on Spencer's portrayal, generally concerned to recognize and reconcile universal and particular, thus here (in political philosophy) to recognize and reconcile both universal moral and political values and the value of cultural and linguistic specificity. Spencer proceeds by articulating, first, the “ontological” foundations for Herder's insistence on respect for cultural particularity. Building upon (and rendering considerably more grounded in Herder's texts) Charles Taylor's suggestions concerning Herder's “expressivism,” Spencer articulates the various ways in which Herder conceives of the human being (the individual or self) as comprehensively formed by her native language and, so, as deeply embedded in her cultural context. (Though Spencer's concerns and interlocutors lie primarily in political philosophy, her treatment of Herder thus overlaps with more literarily oriented work, such as is more central in the German-language Herder scholarship.)
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.005 | 0.012 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.008 |
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".