Bibliographic record
Abstract
移动互联网浪潮席卷而来，社交媒体方兴未艾，通信、娱乐、传播等行业格局正发生巨大变革。尽管2011年底，分众传媒在楼宇广告市场占有率已超过90%，稳坐头把交椅，公司创立者江南春依旧担心，作为单向的传统媒体，未来五年，分众传媒的市场空间将受到手机、互联网为代表的新兴互动媒体挤压。有介于此，2011年，分众在北上广等7大城市投放了3万台新一代互动屏，在播放商家品牌广告的大屏幕下加装3块小屏幕播放产品促销信息，消费者刷Q卡后，即可通过绑定手机获取相应优惠。此举旨在培育用户群体，建立用户信息与行为习惯数据库。然而Q卡业务发展并不如意，维络城卡、大众点评网、腾讯微信等竞争对手也虎视眈眈。Q卡究竟“卡”在了哪里？江南春陷入沉思：分众能否开发更便于消费者携带与使用的Q卡？如何激励消费者激活并使用Q卡？大品牌商家的广告信息和小商家的促销信息如何在互动屏上有机组合？根据市场变化、客户需求和消费者需求及时调整企业产品布局和发展战略，是企业在扩张业务领域时必须考虑的关键因素。
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 | 0.012 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.027 | 0.031 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.046 | 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".