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Record W4200086149 · doi:10.1515/9783035624052-002

PROLOGUE

2021· book-chapter· en· W4200086149 on OpenAlexfundno aff
Miro Roman, Alice ch n

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsnot available
FundersUniversity of TorontoHarvard UniversityStanford Bio-XPrinceton University
KeywordsPrologueHistoryArchaeology

Abstract

fetched live from OpenAlex

The wine says a thousand things, moving from sense to information: spiritual.ӏ1ӏ The city atmosphere is suffused with a variety of sounds, colours, information and odours.ӏ2ӏ "I have," say you, "a certain information of a Deity imprinted in my mind."ӏ3ӏ Information is becoming our primary and universal addiction.ӏ4ӏ What I want is information: not useful information, of course, but useless information.ӏ5ӏ Beyond the end, beyond all finality, we enter a paradoxical state-the state of too much reality, too much positivity, too much information.ӏ6ӏ You gave me plenty of background information.ӏ7ӏ The entropy increase is always larger than the information obtained.ӏ8ӏ Newspapers, news, proceed by redundancy, in that they tell us what we "must" think, retain, expect, etc. Language is neither informational nor communicational.ӏ9ӏ A century of more and more rapid movement of information by print had developed new sensibilities.ӏ10ӏ They can manipulate several forms of information at the same time, yet they neither understand it, nor integrate it, nor synthesise it as do we, their ancestors.ӏ11ӏ They seemed to me to embody the same information, just coded in two complementary ways.ӏ12ӏ Information resides in informed mass, not in a materiality that would be the opposite of immaterial forms.ӏ13ӏ Information can be changed into negentropy, and vice versa.ӏ14ӏ The connection between entropy and information is absolutely essential for consistency.ӏ15ӏ This means that the knowledge is stored not explicitly, but implicitly, in a spread about manner, rather than as a local "packet of information".ӏ16ӏ Whether this information is valuable or worthless does not concern us.ӏ17ӏ The essential point is that all information is paid for in negentropy.ӏ18ӏ From this negative entropy the demon obtains information. ӏ19ӏKnowledge is not gratuitous, information has a price.ӏ20ӏ An infinite amount of information is unattainable.ӏ21ӏ We may have fluctuations in the information obtained in individual operations.ӏ22ӏ The mathematical notion of information does not signify the quantity it captures, it indexes it.ӏ23ӏ Only if system elements have the chance, here or there, to be open or closed, does the system produce information.ӏ24ӏ Information is more a matter of process than of storage.ӏ25ӏ We miss the very character of information when we try to relate it to the passive representation of sense.ӏ26ӏ But we are in no position to investigate the process of thought, and we cannot, for the moment, introduce into our theory any element involving the human value of the information.ӏ27ӏ Information is information, not matter or energy.ӏ28ӏ I admit that, in the present state of my information, I do not understand it.ӏ29ӏ The information must be carried by some physical process, say some form of radiation.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.665
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.3350.194

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 head0.079
GPT teacher head0.340
Teacher spread0.261 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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