Bibliographic record
Abstract
Loss of Polit ical Power Through K n o w l e d g e The social o rde r that is l ooming on our horizon is based on knowledge . There is no th ing n e w about the fact that our soc ie ty is about to unde rgo a rapid t ransformat ion: the past , p e r i o d s of acc e l e r a t e d soc i a l c h a n g e have b e e n c o m m o n enough occur rences . Wha t is n e w here is bo th the na ture of and the dr iv ing force b e h i n d these social , e c o n o m i c and cu l tu ra l changes . For if knowledge is not just a cons t i tu t ive feature of our m o d e r n e c o n o m y but a basic o rgan iza t iona l pr inc iple of the way we run our lives, t hen it is justif iable to talk abou t our l iving a k n o w l e d g e society. This means no th ing more and no th ing less than that we organize our social real i ty on the basis of our knowledge . In the 1950s the Ge rman soc io log is t Helmut Schelsky ske tched out his vers ion of a n ightmare : the use of e l ec t ron ic ca lcu la t ing mach ines raises the spec t e r of the to ta l i ta r ian state, he c la imed. Such a gove rnmen t mach ine can d e m a n d absolute obed ience , s ince it wil l be able to p r e d i c t and p lan the future wi th pe r f ec t reliability, he p r o p h e s i e d , and in the face of t echnica l ly guaran teed truth, all o p p o s i t i o n is irrational. Half a c en tu ry la ter the Amer ican e n t r e p r e n e u r and futuro logis t Bill Joy is warn ing us of a d e v e l o p m e n t that possesses similarly n igh tmar i sh charac ter i s tics: his greatest fear is that n a n o t e c h n o l o g y might start to evolve i n d e p e n d e n t l y of its h u m a n creators. This and o the r t e chno log i e s of the fu ture cou ld pu t the h u m a n race on the e n d a n g e r e d species list, he claims. Schelsky 's p r e d i c t i o n was r ight l ine w i th the zei tgeis t p reva i l ing the midd le of the last cent u r y a n d as Joy's admoni t ions show, this zei tgeist is s how i ng no signs of aging. This p h e n o m e n o n is the resul t of a s y m p t o m a t i c ove re s t ima t ion of the p o w e r of m o d e r n k n o w l e d g e and technology. Yet p a r a d o x i c a l l y it is p rec i se ly k n o w l e d g e and t e c h n o l o g y tha t are p e r h a p s the mos t s igni f icant sources of the open , i n d e t e r m i n a t e soc ie ty that is g rowing up a round us today. Desp i t e all pessimistic p r ed i c t i ons we n o w find ourselves wi tnessing the end of the h e g e m o n y of such m o n o l i t h i c ins t i tu t ions as the state, the chu rch and the military. The c o n d u c t of the la t ter ' s r e p r e s e n t a t i v e s be t rays a g rowing skep t i c i sm as to the i r cont inuing capac i ty to regula te social condi t ions : control ling, p lann ing and p red i c t i ng social cond i t ions are b e c o m i n g increas ingly more difficult. Socie ty has b e c o m e more fragile. Yet it is n e i t h e r global izat ion nor the e c o n o m i z a t i o n of social re la t ions that is r e s p o n s i b l e for this s tate of affairs bu t the loss of po l i t i ca l p o w e r t h rough know l e dge . The age of indus t r ia l i sm is coming to an end; the skills and e x p e r t i s e that w e r e neces sa ry to ma ta the social o rde r of indus t r ia l i sm are losing the i r efficacy. The social o r d e r that is l ooming on our h o r i z o n is based on k n o w l e d g e .
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 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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.014 | 0.039 |
| Scholarly communication | 0.025 | 0.032 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.006 |
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".