Portland West Time Dollar Exchange Dataset
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Portland West Time Dollar Exchange (PWTDE) dataset contains the recorded transactions from a local currency group that existed in Portland, Maine for over four years. Such voluntary organizations allow participants to exchange services and goods without the use of federal money (see Collom, Lasker, and Kyriacou 2012). Unlike bartering (a direct swap between two parties), local currencies create a network of people and organizations in which transactions are tracked with an alternative currency. Time banks use time as their currency. The amount of time that a member spends helping another is entered in a database so that the provider is credited with “time dollars” (or “hours”) and the recipient’s account is debited. The other major form of local currency in the United States, the Ithaca Hours model, employs printed bills that members exchange for services or goods (see Collom 2005). The PWTDE began in February, 2002 and was embedded in Portland West, a community-based social service agency. The organization ran out of grant funds to support its community outreach programs and was forced to close the time bank in June 2006 (Doherty 2006). At that time, all PWTDE members were invited to join Portland’s larger and better-known time bank, the Hour Exchange Portland (see Collom et al. 2012). The data consist of the 2,316 recorded transactions involving 6,712 hours of services exchanged among the 319 members at PWTDE over the course of its history. A multitude of social network analyses are possible with this dataset. It is longitudinal, directed, and valued. The date of each transaction is included, making it possible to investigate the evolution of the network across time (see analyses by quarter in Collom 2012). The ties are directed; one member has provided a service to another. The amount of time that the exchange took (the number of time dollars earned) is the value of the tie. Moreover, investigations of qualitative aspects of the ties are also possible as the services exchanged in the transactions have been categorized into 13 broad types (see Collom 2012; Collom et al. 2012): 1) Health and Wellness (e.g., yoga, acupuncture, meditation), 2) Beauty and Spa (haircut, massage, facial), 3) Office and Administrative Support (clerical help, bulk mailing), 4) Computers and Technology (computer repair, website design, audio/ video production), 5) Tutoring, Consultation and Personal Services (lessons, tutoring, basic computer assistance, childcare), 6) Construction, Installation, Maintenance and Repair (carpentry, painting, yard/ garden maintenance), 7) Cleaning, Light Tasks and Errands (cleaning, mending and alterations, errands), 8) Food Preparation and Service (cooking, catering), 9) Transportation and Moving (transportation, moving assistance, hauling), 10) Entertainment and Social Contact (companionship, performances, telephone assurance), 11) Events and Program Support (assistance with project/event, committee meetings), 12) Sales and Rentals of Items (purchase of used goods, space rental), and 13) Arts and Crafts Production (arts and crafts, artwork).
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 it