Indigena: Teaching case of IT Impact Sourcing
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
This teaching case introduces the concept of Impact Sourcing, in the context of global IT outsourcing. While IT outsourcing is a well-established management technique, with a history of at least 30 years, Impact Sourcing is a relatively new concept, conceptualized by the Rockefeller Foundation in 2011 and recently defined by the Global Impact Sourcing Coalition. To summarize this case, a First Nations band collaborated with a successful global outsourcing firm, Accenture, to establish Indigena, a Canadian-based impact-sourcing enterprise. Indigena found it difficult to attract, hire and retain qualified Aboriginal employees. The suburban office location in the high-cost Vancouver market may have been a key challenge in building a robust Aboriginal workforce. However, the challenge of winning outsourcing contracts in a competitive market may have been hindered by the Aboriginal workforce, despite the outward positive response of clients to the Impact Sourcing model. Indigena was not able to meet its social goals and at the same time it struggled to attract and retain clients. It was unable to demonstrate profitable business success, resulting in a strategic challenge from its investors.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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