Pith. Sign in

REVIEW

The Weakness of the Scientific Assessments: A Praise of Silence

Physics and Society · Submitted 24 Feb 2006 · 25 references

Pith's verdict: A thought-provoking essay that packages known critiques of metrics into six pseudo-axioms and a nice citation paradox, but the advertised 'contradiction' is never shown; worth a serious read, not a serious endorsement.

T0 · AI review

How this review was made: An AI referee (deepseek-v4-flash) read the paper on August 28, 2026 and answered a fixed list of questions about it. T0 is the starting level every paper gets. The levels describe how deeply Pith has checked the paper, never the authors.

  1. T0 AI review An AI read the paper and answered a fixed list of questions.
  2. T1 Audit Automatic checks that the references and files the paper relies on exist and match.
  3. T2 Compute The paper's code or calculations re-run with the same results.
  4. T3 Formal statement The claims written out in a formal math language a computer can read.
  5. T4 Proof Those claims proved, and the proof checked by computer.

How Pith checks papers →

· 4 major objections · 5 minor · Ask about this paper · The compiled record · Read the full review →
Challenge this review Comment (0) Read on arXiv ↗
Cite ▾
arXiv IDphysics/0602167 (version 1)
Pith ID3R2QCT62, Pith's permanent record of this paper and its review
CitationJose Carlos Bermejo Barrera. "The Weakness of the Scientific Assessments: A Praise of Silence." arXiv:physics/0602167 (2006). https://pith.science/paper/3R2QCT62
Cite this reviewBibTeX for Pith's review of this paper
Claim paper

Why Pith says this

Highlight any text to comment on it.

Referee report
The paper

The paper claims

Scientific assessment measures prestige, not knowledge.

The reading

This paper sets out to show that standard systems for assessing scientific work—citation counts, journal rankings, and metrics like the h-index—rest on six assumptions it calls pseudo-axioms, and that these assumptions contradict one another. The central charge is that such evaluations never measure the content of knowledge: they measure the social standing of researchers within their communities, functioning as an honors system that allocates funds and institutional control. If the argument holds, no universal quantitative parameter can measure knowledge, and decisions presented as objective assessment are at bottom social and political choices. The paper draws the consequence that there is no single thing called Science, only heterogeneous kinds of knowledge, each with its own methods, outputs, and legitimate forms of valuation.

What carries the argument

The mechanism carrying the argument is the distinction between a publication as a rhetorical unit and as a unit of knowledge, together with the treatment of the citation as a social act of recognition. A paper, the paper argues, obeys stylistic and bibliographic conventions; it is not an atom of intellectual capital, and the quality attributed to a journal is only a socially granted rank of honor. The citation, likewise, is a sign that one researcher grants authority to another, so counting citations amounts to counting acts of mutual recognition, not contributions to knowledge. On this analysis the entire apparatus of assessment—impact indexes, the h-index, five-year horizons—becomes a formalized version of an honors system, and the paper sharpens this with the paradox that a researcher is most important when nobody needs to cite him, because his results have become common facts.

Extended reading notes

Core claim

The paper's core claim is that the major scientific assessment systems are logically weak because they depend on contradictory axioms: only scientists can assess science; knowledge production is quantifiable; the publication is the unit of measure; publications can be ranked by objective criteria; published work decays within roughly five years; and science can discard its past and forecast its future. The first two pseudo-axioms are meant to clash with the heterogeneity of knowledge, the next two with the fact that papers are rhetorical units and citations are signs of mutual recognition rather than units of knowledge, and the last two with the paradox that truly fundamental work stops being cited once it becomes accepted fact. Consequently, the paper claims, evaluation of scientific knowledge in itself does not exist; what is measured is the external signs of a prestige order, and scientists who speak about science as a whole are only expressing opinions. The positive proposal is that evaluation should follow the heterogeneous forms of knowledge and curricula, with funding and rank decided by historical and ethical values rather than by a single universal scale.

Load-bearing premise

The load-bearing premise is that kinds of knowledge are radically heterogeneous and share no common internal structure, so no universal quantitative parameter can measure them.

Editorial extensions

If this is right

  • If assessment is an honors system, then funding and hiring decisions made on citation metrics do not track the epistemic value of research, no matter how precisely they are computed.
  • Because no one has authoritative competence about science as a whole, public and institutional debates about research priorities are ethical and political discussions, not technical ones.
  • The heterogeneity of knowledge implies that a single evaluation standard systematically favors fields with high publication output and teamwork over fields that produce books, single-author work, or slow-maturing ideas.
  • The five-year lifespan rule is arbitrary, and citation counts can actually invert importance: work that becomes background knowledge is cited less, not more.
  • Scientific futures cannot be forecast, so claims to long-term prediction made in funding proposals are strategic rhetoric rather than grounded forecasts.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • This suggests a testable corollary: citation trajectories of papers that later become textbook facts should follow a rise-then-fall pattern, since their content is absorbed and no longer attributed; a dataset of foundational papers could check this directly.
  • The argument points toward a plural-evaluation design in which assessment panels rotate among epistemic cultures and use field-relative criteria, though the paper does not spell out such a mechanism.
  • If the heterogeneity premise is right, the same research output would be judged differently by differently composed panels; an experiment comparing panel compositions would give this a sharp empirical handle.
  • Read as a policy view, the paper implies that research funding should follow an explicit value ranking, such as the values of the Declaration of Human Rights, rather than an internal scientific hierarchy—a consequence the author only sketches in the final list of ideas.
Original abstract

This article aims to show the weakness of the current scientific assessments, based on a set of contradictory pseudo-axioms. The six pseudo-axioms are deeply analysed. From the analysis are derived several conclusions. In spite of the serious efforts of the scientists to establish a ranking of honors in order to get funds or to control the academic and higher education institutions, the Science doesn't exists in itself, but different kinds of knowledge. Therefore, the scientists don't control the Science; they are mere experts in a field of knowledge, which could be expressed in many valid ways. This variety determines the existence of many models of academic curricula, based on heterogeneous ways of valuation that change along the History.

The compiled record

The paper's own sentences, arranged, kept beside the review and separate from it. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,798 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.08 · human participants 0.05 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.12 · compares with prior results 0.04 · mentions code or data availability 0.01.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

This article aims to show the weakness of the current scientific assessments, based on a set of contradictory pseudo-axioms. The six pseudo-axioms are deeply analysed. From the analysis are derived several conclusions. In spite of the serious efforts of the scientists to establish a ranking of honors in order to get funds or to control the academic and higher education institutions, the Science doesn't exists in itself, but different kinds of knowledge. Therefore, the scientists don't control the Science; they are mere experts in a field of knowledge, which could be expressed in many valid ways. This variety determines the existence of many models of academic curricula, based on heterogeneous ways of valuation that change along the History.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 This article aims to show the weakness of the current scientific assessments, based on a set of contradictory pseudo-axioms. contribution 0.98 0.39 0.15 asserted 0.98
s1 The six pseudo-axioms are deeply analysed. method 0.58 0.83 0.03 asserted 0.98
s2 From the analysis are derived several conclusions. result 0.56 0.83 0.05 asserted 0.97
s3 In spite of the serious efforts of the scientists to establish a ranking of honors in order to get funds or to control the academic and higher education institutions, the Science doesn't exists in itself, but different kinds of knowledge. result 0.80 0.13 0.47 asserted 1.00
s4 Therefore, the scientists don't control the Science; they are mere experts in a field of knowledge, which could be expressed in many valid ways. interpretation 0.63 0.36 0.38 asserted 0.96
s5 This variety determines the existence of many models of academic curricula, based on heterogeneous ways of valuation that change along the History. interpretation 0.60 0.33 0.16 asserted 1.00

What kind of paper the classifier reports this is: position or commentary 1.00 · evidence from argument 0.99.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

References

Discussion

Disagree with the review, or know something it missed? Leave a comment, highlight any passage above to comment on it, or challenge this review formally.