MétaCan
Menu
Back to cohort
Record W2529750782

Quo vadis, poljoprivreda?

2012· article· sl· W2529750782 on OpenAlexaboutno aff
Marijan Jošt

Bibliographic record

VenueUniversity of Zagreb University Computing Centre (SRCE) · 2012
Typearticle
Languagesl
FieldSocial Sciences
TopicHungarian Social, Economic and Educational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceLibrary sciencePhilosophyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Covjecanstvo se danas suocava s novim strahom, ne vise strahom od prirode, vec strahom za prirodu, za prirodne temelje vlastitog života. Živimo u doba nametnutih kliseja. Ucili su nas da je prvi covjekov civilizacijski korak bio prijelaz od sakupljanja plodova i lova na zemljoradnju. Stvorivsi prvo primitivno pomagalo od drva i kamena, prvo ratilo, nas je predak poceo mijenjati svoj okolis. Razvoj pluga tekao je usporedno s razvojem civilizacije. U devetnaestom stoljecu drveni plug zamjenjuje celicni potezan konjima, a ubrzo potom Britanci za potezanje pluga primjenjuju parni stroj. Vec oko 1930. vise od milijun benzinskih traktora povlaci to ratilo sirom Amerike. Plug je desetak tisuca godina bio simbol civilizacijskog napretka covjeka. I tada najednom, ostajemo zapanjeni tvrdnjom: »Plug je covjecanstvu nanio vise stete nego sablja.«1 Mnogi od nas nece niti pokusati shvatiti koliko istine ima u toj tvrdnji. U novije vrijeme nametnut nam je jos jedan klisej. Stalno nas uvjeravaju da živimo u stoljecu najveceg civilizacijskog napretka covjecanstva. Tvrde da se kolicina znanja udvostrucuje svakih 5 godina (u genetici cak svake dvije godine). I dok smo spremni prihvatiti tu, nametnutu nam »istinu«, ponovno ostajemo zgranuti novom tvrdnjom dviju nevladinih institucija, jedne iz Svedske (Dag Hammarskjold Foundation, Uppsala), a druge iz Kanade (Rural Advancement Foundation International, Winnipeg), koje pocetkom 2001. u zajednickom izvjescu objavljuju: »Nasa generacija je prva generacija u povijesti ljudskog roda koja ce izgubiti vise znanja no sto ce ga steci!«2 Ova nevjerojatna spoznaja zastrasujuca je i trebala bi nas duboko zabrinuti.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.018
Scholarly communication0.0150.011
Open science0.0010.006
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0350.007

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 head0.016
GPT teacher head0.213
Teacher spread0.198 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of Zagreb University Computing Centre (SRCE)Same topicHungarian Social, Economic and Educational StudiesFrench-language works237,207