Responses to Hugh Heclo's On Thinking Institutionally
Bibliographic record
Abstract
Hugh Heclo's recent book On Thinking Institutionally (Paradigm Publishers, 2008) analyzes changes that have taken place in the past half century in how North Americans tend to think and act in institutions. The volume is receiving particular attention as it can be applied to higher education and to religious denominations, and so deserves consideration by those who teach in theology and religious studies. At an October 2009 conference, The Wabash Center hosted a lively discussion of Heclo's volume among invited religion and theology scholars, which resulted in the present compilation of four short responses to the book. What was and is clear from these responses is that while Heclo has identified a crucial issue, his analysis and prescription leave important theoretical and practical questions untouched. Indeed part of the energy around the discussion of the book flowed from the ways in which his lack of attention to social class, gender, race, and age circumscribed his ability to robustly describe and diagnose the challenge that gave rise to his book. In order to orient readers to the volume and discussion of it, the “Conversation” begins with a descriptive review of the book.
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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.016 | 0.023 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".