diff options
author | Ralph Amissah <ralph@amissah.com> | 2019-09-04 08:46:40 -0400 |
---|---|---|
committer | Ralph Amissah <ralph@amissah.com> | 2019-09-04 08:46:40 -0400 |
commit | 663bf45c91ade07ee9be9a3c57e66f520c829407 (patch) | |
tree | 873f7f7e28127be6cdc8f5dac7f4029cd7cb577e /data/samples | |
parent | markup modification: distinguish blocks and groups (diff) |
markup modification: table attributes
Diffstat (limited to 'data/samples')
3 files changed, 28 insertions, 29 deletions
diff --git a/data/samples/current/en/democratizing_innovation.eric_von_hippel.sst b/data/samples/current/en/democratizing_innovation.eric_von_hippel.sst index bd46a38..f2fabce 100644 --- a/data/samples/current/en/democratizing_innovation.eric_von_hippel.sst +++ b/data/samples/current/en/democratizing_innovation.eric_von_hippel.sst @@ -576,7 +576,7 @@ Many respondents reported developing or modifying products for their own use in Surgical equipment +1 } -table{~h c4; 20; 45; 15; 20; +table(h; c4: 20, 45, 15, 20){ ~ Number and type of Users Sampled @@ -721,7 +721,7 @@ Morrison, Roberts, and I obtained responses from 102 Australian libraries that w !_ Table 2.2 OPAC modifications created by users served a wide variety of functions. -table{~h c2; 50; 50; +table(h; c2: 50, 50){ Improved library management Improved information-search capabilities @@ -783,7 +783,7 @@ Libraries that had modified their OPAC systems were found to have significantly !_ Table 2.3 Factors associated with innovating in librararies (logit model). χ^{2}^/,{4}, = 33.85; ρ^{2}^ = 0.40; classification rate = 87.78%. -table{~h c3; 40; 30; 30; +table(h; c3: 40, 30, 30){ ~ Coefficient @@ -858,7 +858,7 @@ Franke and Shah found that 23 percent of the user-developed innovations reported !_ Table 2.4 Factors associated with innovation in sports communities. -table{~h c4; 55; 15; 15; 15; +table(h; c4: 55, 15, 15, 15){ ~ Innovators^{a}^ @@ -1045,7 +1045,7 @@ _* When riding on ice, my bike has no traction and I slip and fall. Solution dev !_ Table 3.1 Activity specializations of innovating mountain bikers. -table{~h c6; 20; 13; 20; 13; 20; 14; +table(h; c6: 20, 13, 20, 13, 20, 14){ Preferred terrain Number of bikers @@ -1178,7 +1178,7 @@ Recall that it takes some technical skill to modify Apache web server software b !_ Table 3.2 Skilled users who customized their software were more satisfied than those who did not customize. -table{~h c4; 55; 15; 15; 15; +table(h; c4: 55, 15, 15, 15){ ~ Users who customized (n = 18) @@ -1354,7 +1354,7 @@ A builder was faced with the immediate problem of how to route wires through the !_ Table 4.1 Users would have found it much more costly to get custom solutions from manufacturers. The costs of user-developed innovations in stressed-skin panels were very low. -table{~h c5; 40; 17; 17; 6; 20; +table(h; c5: 40, 17, 17, 6, 20){ Function Average user development time (days) @@ -1697,7 +1697,7 @@ Users tend to develop innovations that deliver novel functions. % Innovation developed by -table{~h c4; 60; 15; 15; 10; +table(h; c4: 60, 15, 15, 10){ Type of improvement provided by innovation User @@ -1773,7 +1773,7 @@ We asked mountain bikers who had innovated about the sources of the need and sol Innovators tended to use solution information they already had "in stock" to develop their ideas. Tabulated here are innovators' answers to the question "How did you obtain the information needed to develop your solution?" ={ Lüthje, C. } -table{~h c4; 55; 15; 15; 15; +table(h; c4: 55, 15, 15, 15){ . Mean @@ -1921,11 +1921,10 @@ A finding by Lakhani and von Hippel (2003) illustrates the possibility that many Even very specialized information is often widely known. Tabulated here are answers to a question asked of help-line information providers: "How many others do you think knew the answer to the question you answered?" ={ Lakhani, K } -table{~h c3; 40; 30; 30; +table(h; c3: 40, 30, 30){ ~ Frequent providers (n = 21) - Other providers (n = 67) Many @@ -2178,7 +2177,7 @@ User innovation is widely distributed, with few users developing more than one m Number of users developing this number of major innovations -table{~h c7; 30; 10; 10; 10; 10; 10; 20; +table(h; c7: 30, 10, 10, 10, 10, 10, 20){ ~ 1 @@ -2399,7 +2398,7 @@ Number of people from whom innovators received assistance. Shah, S. } -table{~h c3; 34; 33; 33; +table(h; c3: 34, 33, 33){ Number of people Number of cases @@ -2443,7 +2442,7 @@ Innovators tended to be the ones assisting others with their innovations (p < 0. Shah, S. } -table{~h c4; 40; 20; 20; 20; +table(h; c4: 40, 20, 20, 20){ ~ Innovators @@ -3113,7 +3112,7 @@ Our research compared all funded product concepts generated by LU and non-LU met !_ Table 10.1 Concepts for new products developed by lead user project teams had far more commercial promise than those developed by non-lead-user project teams. -table{~h c4; 40; 20; 20; 20; +table(h; c4: 40, 20, 20, 20){ ~ LU product concepts (n =5) @@ -3204,7 +3203,7 @@ Following tt, p < 0.005).e advice of 3M divisional controllers, major product li !_ Table 10.2 Lead user project teams developed concepts for major new product lines. Non-lead-user project teams developed concepts for incremental product improvements. -table{~h c3; 34; 33; 33; +table(h; c3: 34, 33, 33){ ~ Incremental product improvements @@ -3253,7 +3252,7 @@ Table 10.3 provides profiles of the five LU major product lines and the 16 non-L !_ Table 10.3 Major new product lines (MNPLs) generated by lead-user methods are similar to MNPLs generated by 3M in the past. -table{~h c4; 55; 15; 15; 15; +table(h; c4: 55, 15, 15, 15){ ~ LU MNPLs (n = 5) diff --git a/data/samples/current/en/free_culture.lawrence_lessig.sst b/data/samples/current/en/free_culture.lawrence_lessig.sst index 588da66..19271ac 100644 --- a/data/samples/current/en/free_culture.lawrence_lessig.sst +++ b/data/samples/current/en/free_culture.lawrence_lessig.sst @@ -1437,7 +1437,7 @@ Congress was asked to respond to the Supreme Court's decision. But as with the p If we put these cases together, a pattern is clear: -table{~h c4; 10; 30; 30; 30; +table(h; c4: 10, 30, 30, 30){ CASE WHOSE VALUE WAS "PIRATED" @@ -3174,7 +3174,7 @@ At the start of this book, I distinguished between commercial and noncommercial In 1790, the law looked like this: -table{~h c3; 33; 33; 33; +table(h; c3: 33, 33, 33){ Publish @@ -3199,7 +3199,7 @@ The act of publishing a map, chart, and book was regulated by copyright law. Not By the end of the nineteenth century, the law had changed to this: -table{~h c3; 33; 33; 33; +table(h; c3: 33, 33, 33){ Publish @@ -3226,7 +3226,7 @@ In 1909 the law changed to regulate copies, not publishing, and after this chang ={ photocopyring machines } -table{~h c3; 33; 33; 33; +table(h; c3: 33, 33, 33){ Publish @@ -3244,7 +3244,7 @@ Free The law was interpreted to reach noncommercial copying through, say, copy machines, but still much of copying outside of the commercial market remained free. But the consequence of the emergence of digital technologies, especially in the context of a digital network, means that the law now looks like this: -table{~h c3; 33; 33; 33; +table(h; c3: 33, 33, 33){ Publish diff --git a/data/samples/current/en/the_wealth_of_networks.yochai_benkler.sst b/data/samples/current/en/the_wealth_of_networks.yochai_benkler.sst index ecff83e..ab758eb 100644 --- a/data/samples/current/en/the_wealth_of_networks.yochai_benkler.sst +++ b/data/samples/current/en/the_wealth_of_networks.yochai_benkler.sst @@ -613,7 +613,7 @@ The ideal-type strategy that underlies patents and copyrights can be thought of limited sharing networks } -table{~h c4; 25; 25; 25; 25; +table(h; c4: 25, 25, 25, 25){ Cost Minimization/ Benefit Acquisition Public Domain @@ -953,7 +953,7 @@ The first systematic study of the quality of /{Wikipedia}/ articles was publishe !_ Table 3.1: Contributors to Wikipedia, January 2001 - June 2005 -{table~h 24; 12; 12; 12; 12; 12; 12;} +{table(h; 24, 12, 12, 12, 12, 12, 12)} |Jan. 2001|Jan. 2002|Jan. 2003|Jan. 2004|July 2004|June 2006 Contributors* | 10| 472| 2,188| 9,653| 25,011| 48,721 Active contributors** | 9| 212| 846| 3,228| 8,442| 16,945 @@ -2765,7 +2765,7 @@ The basic drive behind programming choices in advertising-supported mass media w !_ Table 6.1: Distribution of Channels Hypothetical -table{~h c2; 10; 90 +table(h; c2: 10, 90){ No. of channels Programming Available (in thousands of viewers) @@ -3741,7 +3741,7 @@ If you run a search for "Barbie" on three separate search engines--Google, Overt !_ Table 8.1: Results for "Barbie" - Google versus Overture and Yahoo! -table{~h c3; 33; 33; 33; +table(h; c3: 33, 33, 33){ Google Overture @@ -4086,7 +4086,7 @@ Table 9.1 presents a higher-resolution statement of the major actors in these fi !_ Table 9.1: Map of Players and Roles in Major Relevant Sectors -table{~h c7; 14; 14; 14; 14; 14; 14; 14; +table(h; c7: 14, 14, 14, 14, 14, 14, 14){ Actor Sector Government @@ -4317,7 +4317,7 @@ The basic insight of PIPRA, which can serve as a model for university alliances !_ Table 9.2: Selected University Gross Revenues and Patent Licensing Revenues -table{~h c6; 28; 14; 14; 14; 14; 14; +table(h; c6: 28, 14, 14, 14, 14, 14){ . Total Revenues (millions) @@ -4991,7 +4991,7 @@ Another characteristic of the social-economic-institutional struggle is an allia content layer } -table{~h c3; 33; 33; 33; +table(h; c3: 33, 33, 33){ . Enclosure |